R/transcribeservice_operations.R

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

# This file is generated by make.paws. Please do not edit here.
#' @importFrom paws.common get_config new_operation new_request send_request
#' @include transcribeservice_service.R
NULL

#' Creates a new Call Analytics category
#'
#' @description
#' Creates a new Call Analytics category.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_create_call_analytics_category/](https://www.paws-r-sdk.com/docs/transcribeservice_create_call_analytics_category/) for full documentation.
#'
#' @param CategoryName [required] A unique name, chosen by you, for your Call Analytics category. It's helpful to use a detailed naming system that will make sense to you in the future. For example, it's better to use `sentiment-positive-last30seconds` for a category over a generic name like `test-category`.
#' 
#' Category names are case sensitive.
#' @param Rules [required] Rules define a Call Analytics category. When creating a new category, you must create between 1 and 20 rules for that category. For each rule, you specify a filter you want applied to the attributes of a call. For example, you can choose a sentiment filter that detects if a customer's sentiment was positive during the last 30 seconds of the call.
#' @param Tags Adds one or more custom tags, each in the form of a key:value pair, to a new call analytics category at the time you start this new job.
#' 
#' To learn more about using tags with Amazon Transcribe, refer to [Tagging resources](https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html).
#' @param InputType Choose whether you want to create a real-time or a post-call category for your Call Analytics transcription.
#' 
#' Specifying `POST_CALL` assigns your category to post-call transcriptions; categories with this input type cannot be applied to streaming (real-time) transcriptions.
#' 
#' Specifying `REAL_TIME` assigns your category to streaming transcriptions; categories with this input type cannot be applied to post-call transcriptions.
#' 
#' If you do not include `InputType`, your category is created as a post-call category by default.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_create_call_analytics_category
transcribeservice_create_call_analytics_category <- function(CategoryName, Rules, Tags = NULL, InputType = NULL) {
  op <- new_operation(
    name = "CreateCallAnalyticsCategory",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$create_call_analytics_category_input(CategoryName = CategoryName, Rules = Rules, Tags = Tags, InputType = InputType)
  output <- .transcribeservice$create_call_analytics_category_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$create_call_analytics_category <- transcribeservice_create_call_analytics_category

#' Creates a new custom language model
#'
#' @description
#' Creates a new custom language model.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_create_language_model/](https://www.paws-r-sdk.com/docs/transcribeservice_create_language_model/) for full documentation.
#'
#' @param LanguageCode &#91;required&#93; The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.
#' 
#' For a list of supported languages and their associated language codes, refer to the [Supported languages](https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html) table. Note that US English (`en-US`) is the only language supported with Amazon Transcribe Medical.
#' 
#' A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (`en-US`), you can only apply this model to files that contain English audio.
#' @param BaseModelName &#91;required&#93; The Amazon Transcribe standard language model, or base model, used to create your custom language model. Amazon Transcribe offers two options for base models: Wideband and Narrowband.
#' 
#' If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose `WideBand`. To transcribe audio with a sample rate less than 16,000 Hz, choose `NarrowBand`.
#' @param ModelName &#91;required&#93; A unique name, chosen by you, for your custom language model.
#' 
#' This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom language model with the same name as an existing custom language model, you get a `ConflictException` error.
#' @param InputDataConfig &#91;required&#93; Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.
#' 
#' When using `InputDataConfig`, you must include these sub-parameters: `S3Uri`, which is the Amazon S3 location of your training data, and `DataAccessRoleArn`, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include `TuningDataS3Uri`, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.
#' @param EncryptionConfiguration Specifies the encryption configuration for your custom language model. Your model artifacts are encrypted with the specified KMS key or with an AWS-owned key if a key is not supplied.
#' @param Tags Adds one or more custom tags, each in the form of a key:value pair, to a new custom language model at the time you create this new model.
#' 
#' To learn more about using tags with Amazon Transcribe, refer to [Tagging resources](https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html).
#'
#' @keywords internal
#'
#' @rdname transcribeservice_create_language_model
transcribeservice_create_language_model <- function(LanguageCode, BaseModelName, ModelName, InputDataConfig, EncryptionConfiguration = NULL, Tags = NULL) {
  op <- new_operation(
    name = "CreateLanguageModel",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$create_language_model_input(LanguageCode = LanguageCode, BaseModelName = BaseModelName, ModelName = ModelName, InputDataConfig = InputDataConfig, EncryptionConfiguration = EncryptionConfiguration, Tags = Tags)
  output <- .transcribeservice$create_language_model_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$create_language_model <- transcribeservice_create_language_model

#' Creates a new custom medical vocabulary
#'
#' @description
#' Creates a new custom medical vocabulary.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_create_medical_vocabulary/](https://www.paws-r-sdk.com/docs/transcribeservice_create_medical_vocabulary/) for full documentation.
#'
#' @param VocabularyName &#91;required&#93; A unique name, chosen by you, for your new custom medical vocabulary.
#' 
#' This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom medical vocabulary with the same name as an existing custom medical vocabulary, you get a `ConflictException` error.
#' @param LanguageCode &#91;required&#93; The language code that represents the language of the entries in your custom vocabulary. US English (`en-US`) is the only language supported with Amazon Transcribe Medical.
#' @param VocabularyFileUri &#91;required&#93; The Amazon S3 location (URI) of the text file that contains your custom medical vocabulary. The URI must be in the same Amazon Web Services Region as the resource you're calling.
#' 
#' Here's an example URI path: `s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt`
#' @param Tags Adds one or more custom tags, each in the form of a key:value pair, to a new custom medical vocabulary at the time you create this new custom vocabulary.
#' 
#' To learn more about using tags with Amazon Transcribe, refer to [Tagging resources](https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html).
#'
#' @keywords internal
#'
#' @rdname transcribeservice_create_medical_vocabulary
transcribeservice_create_medical_vocabulary <- function(VocabularyName, LanguageCode, VocabularyFileUri, Tags = NULL) {
  op <- new_operation(
    name = "CreateMedicalVocabulary",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$create_medical_vocabulary_input(VocabularyName = VocabularyName, LanguageCode = LanguageCode, VocabularyFileUri = VocabularyFileUri, Tags = Tags)
  output <- .transcribeservice$create_medical_vocabulary_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$create_medical_vocabulary <- transcribeservice_create_medical_vocabulary

#' Creates a new custom vocabulary
#'
#' @description
#' Creates a new custom vocabulary.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_create_vocabulary/](https://www.paws-r-sdk.com/docs/transcribeservice_create_vocabulary/) for full documentation.
#'
#' @param VocabularyName &#91;required&#93; A unique name, chosen by you, for your new custom vocabulary.
#' 
#' This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom vocabulary with the same name as an existing custom vocabulary, you get a `ConflictException` error.
#' @param LanguageCode &#91;required&#93; The language code that represents the language of the entries in your custom vocabulary. Each custom vocabulary must contain terms in only one language.
#' 
#' A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (`en-US`), you can only apply this custom vocabulary to files that contain English audio.
#' 
#' For a list of supported languages and their associated language codes, refer to the [Supported languages](https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html) table.
#' @param Phrases Use this parameter if you want to create your custom vocabulary by including all desired terms, as comma-separated values, within your request. The other option for creating your custom vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the `VocabularyFileUri` parameter.
#' 
#' Note that if you include `Phrases` in your request, you cannot use `VocabularyFileUri`; you must choose one or the other.
#' 
#' Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to [Character Sets for Custom Vocabularies](https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html) to get the character set for your language.
#' @param VocabularyFileUri The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling.
#' 
#' Here's an example URI path: `s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt`
#' 
#' Note that if you include `VocabularyFileUri` in your request, you cannot use the `Phrases` flag; you must choose one or the other.
#' @param Tags Adds one or more custom tags, each in the form of a key:value pair, to a new custom vocabulary at the time you create this new custom vocabulary.
#' 
#' To learn more about using tags with Amazon Transcribe, refer to [Tagging resources](https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html).
#' @param DataAccessRoleArn The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary). If you include `EncryptionConfiguration` in your request, this role must also have permissions to access the specified KMS key. If the role that you specify doesn’t have the appropriate permissions, your request fails.
#' 
#' IAM role ARNs have the format `arn:partition:iam::account:role/role-name-with-path`. For example: `arn:aws:iam::111122223333:role/Admin`.
#' 
#' For more information, see [IAM ARNs](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_identifiers.html#identifiers-arns).
#' @param EncryptionConfiguration Specifies the encryption configuration for your custom vocabulary. Your vocabulary artifacts are encrypted with the specified KMS key or with an AWS-owned key if a key is not supplied.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_create_vocabulary
transcribeservice_create_vocabulary <- function(VocabularyName, LanguageCode, Phrases = NULL, VocabularyFileUri = NULL, Tags = NULL, DataAccessRoleArn = NULL, EncryptionConfiguration = NULL) {
  op <- new_operation(
    name = "CreateVocabulary",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$create_vocabulary_input(VocabularyName = VocabularyName, LanguageCode = LanguageCode, Phrases = Phrases, VocabularyFileUri = VocabularyFileUri, Tags = Tags, DataAccessRoleArn = DataAccessRoleArn, EncryptionConfiguration = EncryptionConfiguration)
  output <- .transcribeservice$create_vocabulary_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$create_vocabulary <- transcribeservice_create_vocabulary

#' Creates a new custom vocabulary filter
#'
#' @description
#' Creates a new custom vocabulary filter.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_create_vocabulary_filter/](https://www.paws-r-sdk.com/docs/transcribeservice_create_vocabulary_filter/) for full documentation.
#'
#' @param VocabularyFilterName &#91;required&#93; A unique name, chosen by you, for your new custom vocabulary filter.
#' 
#' This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom vocabulary filter with the same name as an existing custom vocabulary filter, you get a `ConflictException` error.
#' @param LanguageCode &#91;required&#93; The language code that represents the language of the entries in your vocabulary filter. Each custom vocabulary filter must contain terms in only one language.
#' 
#' A custom vocabulary filter can only be used to transcribe files in the same language as the filter. For example, if you create a custom vocabulary filter using US English (`en-US`), you can only apply this filter to files that contain English audio.
#' 
#' For a list of supported languages and their associated language codes, refer to the [Supported languages](https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html) table.
#' @param Words Use this parameter if you want to create your custom vocabulary filter by including all desired terms, as comma-separated values, within your request. The other option for creating your vocabulary filter is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the `VocabularyFilterFileUri` parameter.
#' 
#' Note that if you include `Words` in your request, you cannot use `VocabularyFilterFileUri`; you must choose one or the other.
#' 
#' Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to [Character Sets for Custom Vocabularies](https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html) to get the character set for your language.
#' @param VocabularyFilterFileUri The Amazon S3 location of the text file that contains your custom vocabulary filter terms. The URI must be located in the same Amazon Web Services Region as the resource you're calling.
#' 
#' Here's an example URI path: `s3://DOC-EXAMPLE-BUCKET/my-vocab-filter-file.txt`
#' 
#' Note that if you include `VocabularyFilterFileUri` in your request, you cannot use `Words`; you must choose one or the other.
#' @param Tags Adds one or more custom tags, each in the form of a key:value pair, to a new custom vocabulary filter at the time you create this new vocabulary filter.
#' 
#' To learn more about using tags with Amazon Transcribe, refer to [Tagging resources](https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html).
#' @param DataAccessRoleArn The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary filter). If you include `EncryptionConfiguration` in your request, this role must also have permissions to access the specified KMS key. If the role that you specify doesn’t have the appropriate permissions, your request fails.
#' 
#' IAM role ARNs have the format `arn:partition:iam::account:role/role-name-with-path`. For example: `arn:aws:iam::111122223333:role/Admin`.
#' 
#' For more information, see [IAM ARNs](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_identifiers.html#identifiers-arns).
#' @param EncryptionConfiguration Specifies the encryption configuration for your custom vocabulary filter. Your vocabulary filter artifacts are encrypted with the specified KMS key or with an AWS-owned key if a key is not supplied.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_create_vocabulary_filter
transcribeservice_create_vocabulary_filter <- function(VocabularyFilterName, LanguageCode, Words = NULL, VocabularyFilterFileUri = NULL, Tags = NULL, DataAccessRoleArn = NULL, EncryptionConfiguration = NULL) {
  op <- new_operation(
    name = "CreateVocabularyFilter",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$create_vocabulary_filter_input(VocabularyFilterName = VocabularyFilterName, LanguageCode = LanguageCode, Words = Words, VocabularyFilterFileUri = VocabularyFilterFileUri, Tags = Tags, DataAccessRoleArn = DataAccessRoleArn, EncryptionConfiguration = EncryptionConfiguration)
  output <- .transcribeservice$create_vocabulary_filter_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$create_vocabulary_filter <- transcribeservice_create_vocabulary_filter

#' Deletes a Call Analytics category
#'
#' @description
#' Deletes a Call Analytics category. To use this operation, specify the name of the category you want to delete using `CategoryName`. Category names are case sensitive.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_delete_call_analytics_category/](https://www.paws-r-sdk.com/docs/transcribeservice_delete_call_analytics_category/) for full documentation.
#'
#' @param CategoryName &#91;required&#93; The name of the Call Analytics category you want to delete. Category names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_delete_call_analytics_category
transcribeservice_delete_call_analytics_category <- function(CategoryName) {
  op <- new_operation(
    name = "DeleteCallAnalyticsCategory",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$delete_call_analytics_category_input(CategoryName = CategoryName)
  output <- .transcribeservice$delete_call_analytics_category_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$delete_call_analytics_category <- transcribeservice_delete_call_analytics_category

#' Deletes a Call Analytics job
#'
#' @description
#' Deletes a Call Analytics job. To use this operation, specify the name of the job you want to delete using `CallAnalyticsJobName`. Job names are case sensitive.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_delete_call_analytics_job/](https://www.paws-r-sdk.com/docs/transcribeservice_delete_call_analytics_job/) for full documentation.
#'
#' @param CallAnalyticsJobName &#91;required&#93; The name of the Call Analytics job you want to delete. Job names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_delete_call_analytics_job
transcribeservice_delete_call_analytics_job <- function(CallAnalyticsJobName) {
  op <- new_operation(
    name = "DeleteCallAnalyticsJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$delete_call_analytics_job_input(CallAnalyticsJobName = CallAnalyticsJobName)
  output <- .transcribeservice$delete_call_analytics_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$delete_call_analytics_job <- transcribeservice_delete_call_analytics_job

#' Deletes a custom language model
#'
#' @description
#' Deletes a custom language model. To use this operation, specify the name of the language model you want to delete using `ModelName`. custom language model names are case sensitive.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_delete_language_model/](https://www.paws-r-sdk.com/docs/transcribeservice_delete_language_model/) for full documentation.
#'
#' @param ModelName &#91;required&#93; The name of the custom language model you want to delete. Model names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_delete_language_model
transcribeservice_delete_language_model <- function(ModelName) {
  op <- new_operation(
    name = "DeleteLanguageModel",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$delete_language_model_input(ModelName = ModelName)
  output <- .transcribeservice$delete_language_model_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$delete_language_model <- transcribeservice_delete_language_model

#' Deletes a Medical Scribe job
#'
#' @description
#' Deletes a Medical Scribe job. To use this operation, specify the name of the job you want to delete using `MedicalScribeJobName`. Job names are case sensitive.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_delete_medical_scribe_job/](https://www.paws-r-sdk.com/docs/transcribeservice_delete_medical_scribe_job/) for full documentation.
#'
#' @param MedicalScribeJobName &#91;required&#93; The name of the Medical Scribe job you want to delete. Job names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_delete_medical_scribe_job
transcribeservice_delete_medical_scribe_job <- function(MedicalScribeJobName) {
  op <- new_operation(
    name = "DeleteMedicalScribeJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$delete_medical_scribe_job_input(MedicalScribeJobName = MedicalScribeJobName)
  output <- .transcribeservice$delete_medical_scribe_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$delete_medical_scribe_job <- transcribeservice_delete_medical_scribe_job

#' Deletes a medical transcription job
#'
#' @description
#' Deletes a medical transcription job. To use this operation, specify the name of the job you want to delete using `MedicalTranscriptionJobName`. Job names are case sensitive.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_delete_medical_transcription_job/](https://www.paws-r-sdk.com/docs/transcribeservice_delete_medical_transcription_job/) for full documentation.
#'
#' @param MedicalTranscriptionJobName &#91;required&#93; The name of the medical transcription job you want to delete. Job names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_delete_medical_transcription_job
transcribeservice_delete_medical_transcription_job <- function(MedicalTranscriptionJobName) {
  op <- new_operation(
    name = "DeleteMedicalTranscriptionJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$delete_medical_transcription_job_input(MedicalTranscriptionJobName = MedicalTranscriptionJobName)
  output <- .transcribeservice$delete_medical_transcription_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$delete_medical_transcription_job <- transcribeservice_delete_medical_transcription_job

#' Deletes a custom medical vocabulary
#'
#' @description
#' Deletes a custom medical vocabulary. To use this operation, specify the name of the custom vocabulary you want to delete using `VocabularyName`. Custom vocabulary names are case sensitive.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_delete_medical_vocabulary/](https://www.paws-r-sdk.com/docs/transcribeservice_delete_medical_vocabulary/) for full documentation.
#'
#' @param VocabularyName &#91;required&#93; The name of the custom medical vocabulary you want to delete. Custom medical vocabulary names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_delete_medical_vocabulary
transcribeservice_delete_medical_vocabulary <- function(VocabularyName) {
  op <- new_operation(
    name = "DeleteMedicalVocabulary",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$delete_medical_vocabulary_input(VocabularyName = VocabularyName)
  output <- .transcribeservice$delete_medical_vocabulary_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$delete_medical_vocabulary <- transcribeservice_delete_medical_vocabulary

#' Deletes a transcription job
#'
#' @description
#' Deletes a transcription job. To use this operation, specify the name of the job you want to delete using `TranscriptionJobName`. Job names are case sensitive.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_delete_transcription_job/](https://www.paws-r-sdk.com/docs/transcribeservice_delete_transcription_job/) for full documentation.
#'
#' @param TranscriptionJobName &#91;required&#93; The name of the transcription job you want to delete. Job names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_delete_transcription_job
transcribeservice_delete_transcription_job <- function(TranscriptionJobName) {
  op <- new_operation(
    name = "DeleteTranscriptionJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$delete_transcription_job_input(TranscriptionJobName = TranscriptionJobName)
  output <- .transcribeservice$delete_transcription_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$delete_transcription_job <- transcribeservice_delete_transcription_job

#' Deletes a custom vocabulary
#'
#' @description
#' Deletes a custom vocabulary. To use this operation, specify the name of the custom vocabulary you want to delete using `VocabularyName`. Custom vocabulary names are case sensitive.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_delete_vocabulary/](https://www.paws-r-sdk.com/docs/transcribeservice_delete_vocabulary/) for full documentation.
#'
#' @param VocabularyName &#91;required&#93; The name of the custom vocabulary you want to delete. Custom vocabulary names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_delete_vocabulary
transcribeservice_delete_vocabulary <- function(VocabularyName) {
  op <- new_operation(
    name = "DeleteVocabulary",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$delete_vocabulary_input(VocabularyName = VocabularyName)
  output <- .transcribeservice$delete_vocabulary_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$delete_vocabulary <- transcribeservice_delete_vocabulary

#' Deletes a custom vocabulary filter
#'
#' @description
#' Deletes a custom vocabulary filter. To use this operation, specify the name of the custom vocabulary filter you want to delete using `VocabularyFilterName`. Custom vocabulary filter names are case sensitive.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_delete_vocabulary_filter/](https://www.paws-r-sdk.com/docs/transcribeservice_delete_vocabulary_filter/) for full documentation.
#'
#' @param VocabularyFilterName &#91;required&#93; The name of the custom vocabulary filter you want to delete. Custom vocabulary filter names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_delete_vocabulary_filter
transcribeservice_delete_vocabulary_filter <- function(VocabularyFilterName) {
  op <- new_operation(
    name = "DeleteVocabularyFilter",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$delete_vocabulary_filter_input(VocabularyFilterName = VocabularyFilterName)
  output <- .transcribeservice$delete_vocabulary_filter_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$delete_vocabulary_filter <- transcribeservice_delete_vocabulary_filter

#' Provides information about the specified custom language model
#'
#' @description
#' Provides information about the specified custom language model.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_describe_language_model/](https://www.paws-r-sdk.com/docs/transcribeservice_describe_language_model/) for full documentation.
#'
#' @param ModelName &#91;required&#93; The name of the custom language model you want information about. Model names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_describe_language_model
transcribeservice_describe_language_model <- function(ModelName) {
  op <- new_operation(
    name = "DescribeLanguageModel",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$describe_language_model_input(ModelName = ModelName)
  output <- .transcribeservice$describe_language_model_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$describe_language_model <- transcribeservice_describe_language_model

#' Provides information about the specified Call Analytics category
#'
#' @description
#' Provides information about the specified Call Analytics category.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_get_call_analytics_category/](https://www.paws-r-sdk.com/docs/transcribeservice_get_call_analytics_category/) for full documentation.
#'
#' @param CategoryName &#91;required&#93; The name of the Call Analytics category you want information about. Category names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_get_call_analytics_category
transcribeservice_get_call_analytics_category <- function(CategoryName) {
  op <- new_operation(
    name = "GetCallAnalyticsCategory",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$get_call_analytics_category_input(CategoryName = CategoryName)
  output <- .transcribeservice$get_call_analytics_category_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$get_call_analytics_category <- transcribeservice_get_call_analytics_category

#' Provides information about the specified Call Analytics job
#'
#' @description
#' Provides information about the specified Call Analytics job.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_get_call_analytics_job/](https://www.paws-r-sdk.com/docs/transcribeservice_get_call_analytics_job/) for full documentation.
#'
#' @param CallAnalyticsJobName &#91;required&#93; The name of the Call Analytics job you want information about. Job names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_get_call_analytics_job
transcribeservice_get_call_analytics_job <- function(CallAnalyticsJobName) {
  op <- new_operation(
    name = "GetCallAnalyticsJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$get_call_analytics_job_input(CallAnalyticsJobName = CallAnalyticsJobName)
  output <- .transcribeservice$get_call_analytics_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$get_call_analytics_job <- transcribeservice_get_call_analytics_job

#' Provides information about the specified Medical Scribe job
#'
#' @description
#' Provides information about the specified Medical Scribe job.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_get_medical_scribe_job/](https://www.paws-r-sdk.com/docs/transcribeservice_get_medical_scribe_job/) for full documentation.
#'
#' @param MedicalScribeJobName &#91;required&#93; The name of the Medical Scribe job you want information about. Job names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_get_medical_scribe_job
transcribeservice_get_medical_scribe_job <- function(MedicalScribeJobName) {
  op <- new_operation(
    name = "GetMedicalScribeJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$get_medical_scribe_job_input(MedicalScribeJobName = MedicalScribeJobName)
  output <- .transcribeservice$get_medical_scribe_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$get_medical_scribe_job <- transcribeservice_get_medical_scribe_job

#' Provides information about the specified medical transcription job
#'
#' @description
#' Provides information about the specified medical transcription job.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_get_medical_transcription_job/](https://www.paws-r-sdk.com/docs/transcribeservice_get_medical_transcription_job/) for full documentation.
#'
#' @param MedicalTranscriptionJobName &#91;required&#93; The name of the medical transcription job you want information about. Job names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_get_medical_transcription_job
transcribeservice_get_medical_transcription_job <- function(MedicalTranscriptionJobName) {
  op <- new_operation(
    name = "GetMedicalTranscriptionJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$get_medical_transcription_job_input(MedicalTranscriptionJobName = MedicalTranscriptionJobName)
  output <- .transcribeservice$get_medical_transcription_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$get_medical_transcription_job <- transcribeservice_get_medical_transcription_job

#' Provides information about the specified custom medical vocabulary
#'
#' @description
#' Provides information about the specified custom medical vocabulary.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_get_medical_vocabulary/](https://www.paws-r-sdk.com/docs/transcribeservice_get_medical_vocabulary/) for full documentation.
#'
#' @param VocabularyName &#91;required&#93; The name of the custom medical vocabulary you want information about. Custom medical vocabulary names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_get_medical_vocabulary
transcribeservice_get_medical_vocabulary <- function(VocabularyName) {
  op <- new_operation(
    name = "GetMedicalVocabulary",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$get_medical_vocabulary_input(VocabularyName = VocabularyName)
  output <- .transcribeservice$get_medical_vocabulary_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$get_medical_vocabulary <- transcribeservice_get_medical_vocabulary

#' Provides information about the specified transcription job
#'
#' @description
#' Provides information about the specified transcription job.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_get_transcription_job/](https://www.paws-r-sdk.com/docs/transcribeservice_get_transcription_job/) for full documentation.
#'
#' @param TranscriptionJobName &#91;required&#93; The name of the transcription job you want information about. Job names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_get_transcription_job
transcribeservice_get_transcription_job <- function(TranscriptionJobName) {
  op <- new_operation(
    name = "GetTranscriptionJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$get_transcription_job_input(TranscriptionJobName = TranscriptionJobName)
  output <- .transcribeservice$get_transcription_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$get_transcription_job <- transcribeservice_get_transcription_job

#' Provides information about the specified custom vocabulary
#'
#' @description
#' Provides information about the specified custom vocabulary.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_get_vocabulary/](https://www.paws-r-sdk.com/docs/transcribeservice_get_vocabulary/) for full documentation.
#'
#' @param VocabularyName &#91;required&#93; The name of the custom vocabulary you want information about. Custom vocabulary names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_get_vocabulary
transcribeservice_get_vocabulary <- function(VocabularyName) {
  op <- new_operation(
    name = "GetVocabulary",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$get_vocabulary_input(VocabularyName = VocabularyName)
  output <- .transcribeservice$get_vocabulary_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$get_vocabulary <- transcribeservice_get_vocabulary

#' Provides information about the specified custom vocabulary filter
#'
#' @description
#' Provides information about the specified custom vocabulary filter.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_get_vocabulary_filter/](https://www.paws-r-sdk.com/docs/transcribeservice_get_vocabulary_filter/) for full documentation.
#'
#' @param VocabularyFilterName &#91;required&#93; The name of the custom vocabulary filter you want information about. Custom vocabulary filter names are case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_get_vocabulary_filter
transcribeservice_get_vocabulary_filter <- function(VocabularyFilterName) {
  op <- new_operation(
    name = "GetVocabularyFilter",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$get_vocabulary_filter_input(VocabularyFilterName = VocabularyFilterName)
  output <- .transcribeservice$get_vocabulary_filter_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$get_vocabulary_filter <- transcribeservice_get_vocabulary_filter

#' Provides a list of Call Analytics categories, including all rules that
#' make up each category
#'
#' @description
#' Provides a list of Call Analytics categories, including all rules that make up each category.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_list_call_analytics_categories/](https://www.paws-r-sdk.com/docs/transcribeservice_list_call_analytics_categories/) for full documentation.
#'
#' @param NextToken If your [`list_call_analytics_categories`][transcribeservice_list_call_analytics_categories] request returns more results than can be displayed, `NextToken` is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including `NextToken` with the value of the copied string. Repeat as needed to view all your results.
#' @param MaxResults The maximum number of Call Analytics categories to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_list_call_analytics_categories
transcribeservice_list_call_analytics_categories <- function(NextToken = NULL, MaxResults = NULL) {
  op <- new_operation(
    name = "ListCallAnalyticsCategories",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", output_token = "NextToken", limit_key = "MaxResults"),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$list_call_analytics_categories_input(NextToken = NextToken, MaxResults = MaxResults)
  output <- .transcribeservice$list_call_analytics_categories_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$list_call_analytics_categories <- transcribeservice_list_call_analytics_categories

#' Provides a list of Call Analytics jobs that match the specified criteria
#'
#' @description
#' Provides a list of Call Analytics jobs that match the specified criteria. If no criteria are specified, all Call Analytics jobs are returned.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_list_call_analytics_jobs/](https://www.paws-r-sdk.com/docs/transcribeservice_list_call_analytics_jobs/) for full documentation.
#'
#' @param Status Returns only Call Analytics jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include `Status`, all Call Analytics jobs are returned.
#' @param JobNameContains Returns only the Call Analytics jobs that contain the specified string. The search is not case sensitive.
#' @param NextToken If your [`list_call_analytics_jobs`][transcribeservice_list_call_analytics_jobs] request returns more results than can be displayed, `NextToken` is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including `NextToken` with the value of the copied string. Repeat as needed to view all your results.
#' @param MaxResults The maximum number of Call Analytics jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_list_call_analytics_jobs
transcribeservice_list_call_analytics_jobs <- function(Status = NULL, JobNameContains = NULL, NextToken = NULL, MaxResults = NULL) {
  op <- new_operation(
    name = "ListCallAnalyticsJobs",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", output_token = "NextToken", limit_key = "MaxResults"),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$list_call_analytics_jobs_input(Status = Status, JobNameContains = JobNameContains, NextToken = NextToken, MaxResults = MaxResults)
  output <- .transcribeservice$list_call_analytics_jobs_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$list_call_analytics_jobs <- transcribeservice_list_call_analytics_jobs

#' Provides a list of custom language models that match the specified
#' criteria
#'
#' @description
#' Provides a list of custom language models that match the specified criteria. If no criteria are specified, all custom language models are returned.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_list_language_models/](https://www.paws-r-sdk.com/docs/transcribeservice_list_language_models/) for full documentation.
#'
#' @param StatusEquals Returns only custom language models with the specified status. Language models are ordered by creation date, with the newest model first. If you do not include `StatusEquals`, all custom language models are returned.
#' @param NameContains Returns only the custom language models that contain the specified string. The search is not case sensitive.
#' @param NextToken If your [`list_language_models`][transcribeservice_list_language_models] request returns more results than can be displayed, `NextToken` is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including `NextToken` with the value of the copied string. Repeat as needed to view all your results.
#' @param MaxResults The maximum number of custom language models to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_list_language_models
transcribeservice_list_language_models <- function(StatusEquals = NULL, NameContains = NULL, NextToken = NULL, MaxResults = NULL) {
  op <- new_operation(
    name = "ListLanguageModels",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", output_token = "NextToken", limit_key = "MaxResults"),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$list_language_models_input(StatusEquals = StatusEquals, NameContains = NameContains, NextToken = NextToken, MaxResults = MaxResults)
  output <- .transcribeservice$list_language_models_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$list_language_models <- transcribeservice_list_language_models

#' Provides a list of Medical Scribe jobs that match the specified criteria
#'
#' @description
#' Provides a list of Medical Scribe jobs that match the specified criteria. If no criteria are specified, all Medical Scribe jobs are returned.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_list_medical_scribe_jobs/](https://www.paws-r-sdk.com/docs/transcribeservice_list_medical_scribe_jobs/) for full documentation.
#'
#' @param Status Returns only Medical Scribe jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include `Status`, all Medical Scribe jobs are returned.
#' @param JobNameContains Returns only the Medical Scribe jobs that contain the specified string. The search is not case sensitive.
#' @param NextToken If your [`list_medical_scribe_jobs`][transcribeservice_list_medical_scribe_jobs] request returns more results than can be displayed, `NextToken` is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including `NextToken` with the value of the copied string. Repeat as needed to view all your results.
#' @param MaxResults The maximum number of Medical Scribe jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_list_medical_scribe_jobs
transcribeservice_list_medical_scribe_jobs <- function(Status = NULL, JobNameContains = NULL, NextToken = NULL, MaxResults = NULL) {
  op <- new_operation(
    name = "ListMedicalScribeJobs",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", output_token = "NextToken", limit_key = "MaxResults"),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$list_medical_scribe_jobs_input(Status = Status, JobNameContains = JobNameContains, NextToken = NextToken, MaxResults = MaxResults)
  output <- .transcribeservice$list_medical_scribe_jobs_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$list_medical_scribe_jobs <- transcribeservice_list_medical_scribe_jobs

#' Provides a list of medical transcription jobs that match the specified
#' criteria
#'
#' @description
#' Provides a list of medical transcription jobs that match the specified criteria. If no criteria are specified, all medical transcription jobs are returned.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_list_medical_transcription_jobs/](https://www.paws-r-sdk.com/docs/transcribeservice_list_medical_transcription_jobs/) for full documentation.
#'
#' @param Status Returns only medical transcription jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include `Status`, all medical transcription jobs are returned.
#' @param JobNameContains Returns only the medical transcription jobs that contain the specified string. The search is not case sensitive.
#' @param NextToken If your [`list_medical_transcription_jobs`][transcribeservice_list_medical_transcription_jobs] request returns more results than can be displayed, `NextToken` is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including `NextToken` with the value of the copied string. Repeat as needed to view all your results.
#' @param MaxResults The maximum number of medical transcription jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_list_medical_transcription_jobs
transcribeservice_list_medical_transcription_jobs <- function(Status = NULL, JobNameContains = NULL, NextToken = NULL, MaxResults = NULL) {
  op <- new_operation(
    name = "ListMedicalTranscriptionJobs",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", output_token = "NextToken", limit_key = "MaxResults"),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$list_medical_transcription_jobs_input(Status = Status, JobNameContains = JobNameContains, NextToken = NextToken, MaxResults = MaxResults)
  output <- .transcribeservice$list_medical_transcription_jobs_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$list_medical_transcription_jobs <- transcribeservice_list_medical_transcription_jobs

#' Provides a list of custom medical vocabularies that match the specified
#' criteria
#'
#' @description
#' Provides a list of custom medical vocabularies that match the specified criteria. If no criteria are specified, all custom medical vocabularies are returned.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_list_medical_vocabularies/](https://www.paws-r-sdk.com/docs/transcribeservice_list_medical_vocabularies/) for full documentation.
#'
#' @param NextToken If your [`list_medical_vocabularies`][transcribeservice_list_medical_vocabularies] request returns more results than can be displayed, `NextToken` is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including `NextToken` with the value of the copied string. Repeat as needed to view all your results.
#' @param MaxResults The maximum number of custom medical vocabularies to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
#' @param StateEquals Returns only custom medical vocabularies with the specified state. Custom vocabularies are ordered by creation date, with the newest vocabulary first. If you do not include `StateEquals`, all custom medical vocabularies are returned.
#' @param NameContains Returns only the custom medical vocabularies that contain the specified string. The search is not case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_list_medical_vocabularies
transcribeservice_list_medical_vocabularies <- function(NextToken = NULL, MaxResults = NULL, StateEquals = NULL, NameContains = NULL) {
  op <- new_operation(
    name = "ListMedicalVocabularies",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", output_token = "NextToken", limit_key = "MaxResults"),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$list_medical_vocabularies_input(NextToken = NextToken, MaxResults = MaxResults, StateEquals = StateEquals, NameContains = NameContains)
  output <- .transcribeservice$list_medical_vocabularies_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$list_medical_vocabularies <- transcribeservice_list_medical_vocabularies

#' Lists all tags associated with the specified transcription job,
#' vocabulary, model, or resource
#'
#' @description
#' Lists all tags associated with the specified transcription job, vocabulary, model, or resource.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_list_tags_for_resource/](https://www.paws-r-sdk.com/docs/transcribeservice_list_tags_for_resource/) for full documentation.
#'
#' @param ResourceArn &#91;required&#93; Returns a list of all tags associated with the specified Amazon Resource Name (ARN). ARNs have the format `arn:partition:service:region:account-id:resource-type/resource-id`.
#' 
#' For example, `arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name`.
#' 
#' Valid values for `resource-type` are: `transcription-job`, `medical-transcription-job`, `vocabulary`, `medical-vocabulary`, `vocabulary-filter`, and `language-model`.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_list_tags_for_resource
transcribeservice_list_tags_for_resource <- function(ResourceArn) {
  op <- new_operation(
    name = "ListTagsForResource",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$list_tags_for_resource_input(ResourceArn = ResourceArn)
  output <- .transcribeservice$list_tags_for_resource_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$list_tags_for_resource <- transcribeservice_list_tags_for_resource

#' Provides a list of transcription jobs that match the specified criteria
#'
#' @description
#' Provides a list of transcription jobs that match the specified criteria. If no criteria are specified, all transcription jobs are returned.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_list_transcription_jobs/](https://www.paws-r-sdk.com/docs/transcribeservice_list_transcription_jobs/) for full documentation.
#'
#' @param Status Returns only transcription jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include `Status`, all transcription jobs are returned.
#' @param JobNameContains Returns only the transcription jobs that contain the specified string. The search is not case sensitive.
#' @param NextToken If your [`list_transcription_jobs`][transcribeservice_list_transcription_jobs] request returns more results than can be displayed, `NextToken` is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including `NextToken` with the value of the copied string. Repeat as needed to view all your results.
#' @param MaxResults The maximum number of transcription jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_list_transcription_jobs
transcribeservice_list_transcription_jobs <- function(Status = NULL, JobNameContains = NULL, NextToken = NULL, MaxResults = NULL) {
  op <- new_operation(
    name = "ListTranscriptionJobs",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", output_token = "NextToken", limit_key = "MaxResults"),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$list_transcription_jobs_input(Status = Status, JobNameContains = JobNameContains, NextToken = NextToken, MaxResults = MaxResults)
  output <- .transcribeservice$list_transcription_jobs_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$list_transcription_jobs <- transcribeservice_list_transcription_jobs

#' Provides a list of custom vocabularies that match the specified criteria
#'
#' @description
#' Provides a list of custom vocabularies that match the specified criteria. If no criteria are specified, all custom vocabularies are returned.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_list_vocabularies/](https://www.paws-r-sdk.com/docs/transcribeservice_list_vocabularies/) for full documentation.
#'
#' @param NextToken If your [`list_vocabularies`][transcribeservice_list_vocabularies] request returns more results than can be displayed, `NextToken` is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including `NextToken` with the value of the copied string. Repeat as needed to view all your results.
#' @param MaxResults The maximum number of custom vocabularies to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
#' @param StateEquals Returns only custom vocabularies with the specified state. Vocabularies are ordered by creation date, with the newest vocabulary first. If you do not include `StateEquals`, all custom medical vocabularies are returned.
#' @param NameContains Returns only the custom vocabularies that contain the specified string. The search is not case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_list_vocabularies
transcribeservice_list_vocabularies <- function(NextToken = NULL, MaxResults = NULL, StateEquals = NULL, NameContains = NULL) {
  op <- new_operation(
    name = "ListVocabularies",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", output_token = "NextToken", limit_key = "MaxResults"),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$list_vocabularies_input(NextToken = NextToken, MaxResults = MaxResults, StateEquals = StateEquals, NameContains = NameContains)
  output <- .transcribeservice$list_vocabularies_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$list_vocabularies <- transcribeservice_list_vocabularies

#' Provides a list of custom vocabulary filters that match the specified
#' criteria
#'
#' @description
#' Provides a list of custom vocabulary filters that match the specified criteria. If no criteria are specified, all custom vocabularies are returned.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_list_vocabulary_filters/](https://www.paws-r-sdk.com/docs/transcribeservice_list_vocabulary_filters/) for full documentation.
#'
#' @param NextToken If your [`list_vocabulary_filters`][transcribeservice_list_vocabulary_filters] request returns more results than can be displayed, `NextToken` is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including `NextToken` with the value of the copied string. Repeat as needed to view all your results.
#' @param MaxResults The maximum number of custom vocabulary filters to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
#' @param NameContains Returns only the custom vocabulary filters that contain the specified string. The search is not case sensitive.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_list_vocabulary_filters
transcribeservice_list_vocabulary_filters <- function(NextToken = NULL, MaxResults = NULL, NameContains = NULL) {
  op <- new_operation(
    name = "ListVocabularyFilters",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", output_token = "NextToken", limit_key = "MaxResults"),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$list_vocabulary_filters_input(NextToken = NextToken, MaxResults = MaxResults, NameContains = NameContains)
  output <- .transcribeservice$list_vocabulary_filters_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$list_vocabulary_filters <- transcribeservice_list_vocabulary_filters

#' Transcribes the audio from a customer service call and applies any
#' additional Request Parameters you choose to include in your request
#'
#' @description
#' Transcribes the audio from a customer service call and applies any additional Request Parameters you choose to include in your request.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_start_call_analytics_job/](https://www.paws-r-sdk.com/docs/transcribeservice_start_call_analytics_job/) for full documentation.
#'
#' @param CallAnalyticsJobName &#91;required&#93; A unique name, chosen by you, for your Call Analytics job.
#' 
#' This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a `ConflictException` error.
#' @param Media &#91;required&#93; Describes the Amazon S3 location of the media file you want to use in your Call Analytics request.
#' @param OutputLocation The Amazon S3 location where you want your Call Analytics transcription output stored. You can use any of the following formats to specify the output location:
#' 
#' 1.  s3://DOC-EXAMPLE-BUCKET
#' 
#' 2.  s3://DOC-EXAMPLE-BUCKET/my-output-folder/
#' 
#' 3.  s3://DOC-EXAMPLE-BUCKET/my-output-folder/my-call-analytics-job.json
#' 
#' Unless you specify a file name (option 3), the name of your output file has a default value that matches the name you specified for your transcription job using the `CallAnalyticsJobName` parameter.
#' 
#' You can specify a KMS key to encrypt your output using the `OutputEncryptionKMSKeyId` parameter. If you do not specify a KMS key, Amazon Transcribe uses the default Amazon S3 key for server-side encryption.
#' 
#' If you do not specify `OutputLocation`, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.
#' @param OutputEncryptionKMSKeyId The Amazon Resource Name (ARN) of a KMS key that you want to use to encrypt your Call Analytics output.
#' 
#' KMS key ARNs have the format `arn:partition:kms:region:account:key/key-id`. For example: `arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab`. For more information, see [KMS key ARNs](https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#key-id-key-ARN).
#' 
#' If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).
#' 
#' Note that the role making the request and the role specified in the `DataAccessRoleArn` request parameter (if present) must have permission to use the specified KMS key.
#' @param DataAccessRoleArn The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
#' 
#' IAM role ARNs have the format `arn:partition:iam::account:role/role-name-with-path`. For example: `arn:aws:iam::111122223333:role/Admin`.
#' 
#' For more information, see [IAM ARNs](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_identifiers.html#identifiers-arns).
#' @param Settings Specify additional optional settings in your request, including content redaction; allows you to apply custom language models, vocabulary filters, and custom vocabularies to your Call Analytics job.
#' @param Tags Adds one or more custom tags, each in the form of a key:value pair, to a new call analytics job at the time you start this new job.
#' 
#' To learn more about using tags with Amazon Transcribe, refer to [Tagging resources](https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html).
#' @param ChannelDefinitions Makes it possible to specify which speaker is on which channel. For example, if your agent is the first participant to speak, you would set `ChannelId` to `0` (to indicate the first channel) and `ParticipantRole` to `AGENT` (to indicate that it's the agent speaking).
#'
#' @keywords internal
#'
#' @rdname transcribeservice_start_call_analytics_job
transcribeservice_start_call_analytics_job <- function(CallAnalyticsJobName, Media, OutputLocation = NULL, OutputEncryptionKMSKeyId = NULL, DataAccessRoleArn = NULL, Settings = NULL, Tags = NULL, ChannelDefinitions = NULL) {
  op <- new_operation(
    name = "StartCallAnalyticsJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$start_call_analytics_job_input(CallAnalyticsJobName = CallAnalyticsJobName, Media = Media, OutputLocation = OutputLocation, OutputEncryptionKMSKeyId = OutputEncryptionKMSKeyId, DataAccessRoleArn = DataAccessRoleArn, Settings = Settings, Tags = Tags, ChannelDefinitions = ChannelDefinitions)
  output <- .transcribeservice$start_call_analytics_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$start_call_analytics_job <- transcribeservice_start_call_analytics_job

#' Transcribes patient-clinician conversations and generates clinical notes
#'
#' @description
#' Transcribes patient-clinician conversations and generates clinical notes.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_start_medical_scribe_job/](https://www.paws-r-sdk.com/docs/transcribeservice_start_medical_scribe_job/) for full documentation.
#'
#' @param MedicalScribeJobName &#91;required&#93; A unique name, chosen by you, for your Medical Scribe job.
#' 
#' This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a `ConflictException` error.
#' @param Media &#91;required&#93; Describes the Amazon S3 location of the media file you want to use in your request.
#' 
#' For information on supported media formats, refer to the `MediaFormat` parameter or the [Media formats](https://docs.aws.amazon.com/transcribe/latest/dg/how-input.html#how-input-audio) section in the Amazon S3 Developer Guide.
#' @param OutputBucketName &#91;required&#93; The name of the Amazon S3 bucket where you want your Medical Scribe output stored. Do not include the `S3://` prefix of the specified bucket.
#' 
#' Note that the role specified in the `DataAccessRoleArn` request parameter must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also [Permissions Required for IAM User Roles](https://docs.aws.amazon.com/transcribe/latest/dg/security_iam_id-based-policy-examples.html#auth-role-iam-user).
#' @param OutputEncryptionKMSKeyId The Amazon Resource Name (ARN) of a KMS key that you want to use to encrypt your Medical Scribe output.
#' 
#' KMS key ARNs have the format `arn:partition:kms:region:account:key/key-id`. For example: `arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab`. For more information, see [KMS key ARNs](https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#key-id-key-ARN).
#' 
#' If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).
#' 
#' Note that the role making the request and the role specified in the `DataAccessRoleArn` request parameter (if present) must have permission to use the specified KMS key.
#' @param KMSEncryptionContext A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see [KMS encryption context](https://docs.aws.amazon.com/transcribe/latest/dg/#kms-context) and [Asymmetric keys in KMS](https://docs.aws.amazon.com/transcribe/latest/dg/).
#' @param DataAccessRoleArn &#91;required&#93; The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files, write to the output bucket, and use your KMS key if supplied. If the role that you specify doesn’t have the appropriate permissions your request fails.
#' 
#' IAM role ARNs have the format `arn:partition:iam::account:role/role-name-with-path`. For example: `arn:aws:iam::111122223333:role/Admin`.
#' 
#' For more information, see [IAM ARNs](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_identifiers.html#identifiers-arns).
#' @param Settings &#91;required&#93; Makes it possible to control how your Medical Scribe job is processed using a `MedicalScribeSettings` object. Specify `ChannelIdentification` if `ChannelDefinitions` are set. Enabled `ShowSpeakerLabels` if `ChannelIdentification` and `ChannelDefinitions` are not set. One and only one of `ChannelIdentification` and `ShowSpeakerLabels` must be set. If `ShowSpeakerLabels` is set, `MaxSpeakerLabels` must also be set. Use `Settings` to specify a vocabulary or vocabulary filter or both using `VocabularyName`, `VocabularyFilterName`. `VocabularyFilterMethod` must be specified if `VocabularyFilterName` is set.
#' @param ChannelDefinitions Makes it possible to specify which speaker is on which channel. For example, if the clinician is the first participant to speak, you would set `ChannelId` of the first `ChannelDefinition` in the list to `0` (to indicate the first channel) and `ParticipantRole` to `CLINICIAN` (to indicate that it's the clinician speaking). Then you would set the `ChannelId` of the second `ChannelDefinition` in the list to `1` (to indicate the second channel) and `ParticipantRole` to `PATIENT` (to indicate that it's the patient speaking).
#' @param Tags Adds one or more custom tags, each in the form of a key:value pair, to the Medical Scribe job.
#' 
#' To learn more about using tags with Amazon Transcribe, refer to [Tagging resources](https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html).
#' @param MedicalScribeContext The `MedicalScribeContext` object that contains contextual information which is used during clinical note generation to add relevant context to the note.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_start_medical_scribe_job
transcribeservice_start_medical_scribe_job <- function(MedicalScribeJobName, Media, OutputBucketName, OutputEncryptionKMSKeyId = NULL, KMSEncryptionContext = NULL, DataAccessRoleArn, Settings, ChannelDefinitions = NULL, Tags = NULL, MedicalScribeContext = NULL) {
  op <- new_operation(
    name = "StartMedicalScribeJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$start_medical_scribe_job_input(MedicalScribeJobName = MedicalScribeJobName, Media = Media, OutputBucketName = OutputBucketName, OutputEncryptionKMSKeyId = OutputEncryptionKMSKeyId, KMSEncryptionContext = KMSEncryptionContext, DataAccessRoleArn = DataAccessRoleArn, Settings = Settings, ChannelDefinitions = ChannelDefinitions, Tags = Tags, MedicalScribeContext = MedicalScribeContext)
  output <- .transcribeservice$start_medical_scribe_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$start_medical_scribe_job <- transcribeservice_start_medical_scribe_job

#' Transcribes the audio from a medical dictation or conversation and
#' applies any additional Request Parameters you choose to include in your
#' request
#'
#' @description
#' Transcribes the audio from a medical dictation or conversation and applies any additional Request Parameters you choose to include in your request.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_start_medical_transcription_job/](https://www.paws-r-sdk.com/docs/transcribeservice_start_medical_transcription_job/) for full documentation.
#'
#' @param MedicalTranscriptionJobName &#91;required&#93; A unique name, chosen by you, for your medical transcription job. The name that you specify is also used as the default name of your transcription output file. If you want to specify a different name for your transcription output, use the `OutputKey` parameter.
#' 
#' This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a `ConflictException` error.
#' @param LanguageCode &#91;required&#93; The language code that represents the language spoken in the input media file. US English (`en-US`) is the only valid value for medical transcription jobs. Any other value you enter for language code results in a `BadRequestException` error.
#' @param MediaSampleRateHertz The sample rate, in hertz, of the audio track in your input media file.
#' 
#' If you do not specify the media sample rate, Amazon Transcribe Medical determines it for you. If you specify the sample rate, it must match the rate detected by Amazon Transcribe Medical; if there's a mismatch between the value that you specify and the value detected, your job fails. Therefore, in most cases, it's advised to omit `MediaSampleRateHertz` and let Amazon Transcribe Medical determine the sample rate.
#' @param MediaFormat Specify the format of your input media file.
#' @param Media &#91;required&#93; Describes the Amazon S3 location of the media file you want to use in your request.
#' 
#' For information on supported media formats, refer to the `MediaFormat` parameter or the [Media formats](https://docs.aws.amazon.com/transcribe/latest/dg/how-input.html#how-input-audio) section in the Amazon S3 Developer Guide.
#' @param OutputBucketName &#91;required&#93; The name of the Amazon S3 bucket where you want your medical transcription output stored. Do not include the `S3://` prefix of the specified bucket.
#' 
#' If you want your output to go to a sub-folder of this bucket, specify it using the `OutputKey` parameter; `OutputBucketName` only accepts the name of a bucket.
#' 
#' For example, if you want your output stored in `S3://DOC-EXAMPLE-BUCKET`, set `OutputBucketName` to `DOC-EXAMPLE-BUCKET`. However, if you want your output stored in `S3://DOC-EXAMPLE-BUCKET/test-files/`, set `OutputBucketName` to `DOC-EXAMPLE-BUCKET` and `OutputKey` to `test-files/`.
#' 
#' Note that Amazon Transcribe must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also [Permissions Required for IAM User Roles](https://docs.aws.amazon.com/transcribe/latest/dg/security_iam_id-based-policy-examples.html#auth-role-iam-user).
#' @param OutputKey Use in combination with `OutputBucketName` to specify the output location of your transcript and, optionally, a unique name for your output file. The default name for your transcription output is the same as the name you specified for your medical transcription job (`MedicalTranscriptionJobName`).
#' 
#' Here are some examples of how you can use `OutputKey`:
#' 
#' -   If you specify 'DOC-EXAMPLE-BUCKET' as the `OutputBucketName` and 'my-transcript.json' as the `OutputKey`, your transcription output path is `s3://DOC-EXAMPLE-BUCKET/my-transcript.json`.
#' 
#' -   If you specify 'my-first-transcription' as the `MedicalTranscriptionJobName`, 'DOC-EXAMPLE-BUCKET' as the `OutputBucketName`, and 'my-transcript' as the `OutputKey`, your transcription output path is `s3://DOC-EXAMPLE-BUCKET/my-transcript/my-first-transcription.json`.
#' 
#' -   If you specify 'DOC-EXAMPLE-BUCKET' as the `OutputBucketName` and 'test-files/my-transcript.json' as the `OutputKey`, your transcription output path is `s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json`.
#' 
#' -   If you specify 'my-first-transcription' as the `MedicalTranscriptionJobName`, 'DOC-EXAMPLE-BUCKET' as the `OutputBucketName`, and 'test-files/my-transcript' as the `OutputKey`, your transcription output path is `s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript/my-first-transcription.json`.
#' 
#' If you specify the name of an Amazon S3 bucket sub-folder that doesn't exist, one is created for you.
#' @param OutputEncryptionKMSKeyId The Amazon Resource Name (ARN) of a KMS key that you want to use to encrypt your medical transcription output.
#' 
#' KMS key ARNs have the format `arn:partition:kms:region:account:key/key-id`. For example: `arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab`. For more information, see [KMS key ARNs](https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#key-id-key-ARN).
#' 
#' If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).
#' 
#' Note that the role making the request and the role specified in the `DataAccessRoleArn` request parameter (if present) must have permission to use the specified KMS key.
#' @param KMSEncryptionContext A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see [KMS encryption context](https://docs.aws.amazon.com/transcribe/latest/dg/#kms-context) and [Asymmetric keys in KMS](https://docs.aws.amazon.com/transcribe/latest/dg/).
#' @param Settings Specify additional optional settings in your request, including channel identification, alternative transcriptions, and speaker partitioning. You can use that to apply custom vocabularies to your transcription job.
#' @param ContentIdentificationType Labels all personal health information (PHI) identified in your transcript. For more information, see [Identifying personal health information (PHI) in a transcription](https://docs.aws.amazon.com/transcribe/latest/dg/phi-id.html).
#' @param Specialty &#91;required&#93; Specify the predominant medical specialty represented in your media. For batch transcriptions, `PRIMARYCARE` is the only valid value. If you require additional specialties, refer to .
#' @param Type &#91;required&#93; Specify whether your input media contains only one person (`DICTATION`) or contains a conversation between two people (`CONVERSATION`).
#' 
#' For example, `DICTATION` could be used for a medical professional wanting to transcribe voice memos; `CONVERSATION` could be used for transcribing the doctor-patient dialogue during the patient's office visit.
#' @param Tags Adds one or more custom tags, each in the form of a key:value pair, to a new medical transcription job at the time you start this new job.
#' 
#' To learn more about using tags with Amazon Transcribe, refer to [Tagging resources](https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html).
#'
#' @keywords internal
#'
#' @rdname transcribeservice_start_medical_transcription_job
transcribeservice_start_medical_transcription_job <- function(MedicalTranscriptionJobName, LanguageCode, MediaSampleRateHertz = NULL, MediaFormat = NULL, Media, OutputBucketName, OutputKey = NULL, OutputEncryptionKMSKeyId = NULL, KMSEncryptionContext = NULL, Settings = NULL, ContentIdentificationType = NULL, Specialty, Type, Tags = NULL) {
  op <- new_operation(
    name = "StartMedicalTranscriptionJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$start_medical_transcription_job_input(MedicalTranscriptionJobName = MedicalTranscriptionJobName, LanguageCode = LanguageCode, MediaSampleRateHertz = MediaSampleRateHertz, MediaFormat = MediaFormat, Media = Media, OutputBucketName = OutputBucketName, OutputKey = OutputKey, OutputEncryptionKMSKeyId = OutputEncryptionKMSKeyId, KMSEncryptionContext = KMSEncryptionContext, Settings = Settings, ContentIdentificationType = ContentIdentificationType, Specialty = Specialty, Type = Type, Tags = Tags)
  output <- .transcribeservice$start_medical_transcription_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$start_medical_transcription_job <- transcribeservice_start_medical_transcription_job

#' Transcribes the audio from a media file and applies any additional
#' Request Parameters you choose to include in your request
#'
#' @description
#' Transcribes the audio from a media file and applies any additional Request Parameters you choose to include in your request.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_start_transcription_job/](https://www.paws-r-sdk.com/docs/transcribeservice_start_transcription_job/) for full documentation.
#'
#' @param TranscriptionJobName &#91;required&#93; A unique name, chosen by you, for your transcription job. The name that you specify is also used as the default name of your transcription output file. If you want to specify a different name for your transcription output, use the `OutputKey` parameter.
#' 
#' This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a `ConflictException` error.
#' @param LanguageCode The language code that represents the language spoken in the input media file.
#' 
#' If you're unsure of the language spoken in your media file, consider using `IdentifyLanguage` or `IdentifyMultipleLanguages` to enable automatic language identification.
#' 
#' Note that you must include one of `LanguageCode`, `IdentifyLanguage`, or `IdentifyMultipleLanguages` in your request. If you include more than one of these parameters, your transcription job fails.
#' 
#' For a list of supported languages and their associated language codes, refer to the [Supported languages](https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html) table.
#' 
#' To transcribe speech in Modern Standard Arabic (`ar-SA`) in Amazon Web Services GovCloud (US) (US-West, us-gov-west-1), Amazon Web Services GovCloud (US) (US-East, us-gov-east-1), Canada (Calgary, ca-west-1) and Africa (Cape Town, af-south-1), your media file must be encoded at a sample rate of 16,000 Hz or higher.
#' @param MediaSampleRateHertz The sample rate, in hertz, of the audio track in your input media file.
#' 
#' If you do not specify the media sample rate, Amazon Transcribe determines it for you. If you specify the sample rate, it must match the rate detected by Amazon Transcribe. If there's a mismatch between the value that you specify and the value detected, your job fails. In most cases, you can omit `MediaSampleRateHertz` and let Amazon Transcribe determine the sample rate.
#' @param MediaFormat Specify the format of your input media file.
#' @param Media &#91;required&#93; Describes the Amazon S3 location of the media file you want to use in your request.
#' @param OutputBucketName The name of the Amazon S3 bucket where you want your transcription output stored. Do not include the `S3://` prefix of the specified bucket.
#' 
#' If you want your output to go to a sub-folder of this bucket, specify it using the `OutputKey` parameter; `OutputBucketName` only accepts the name of a bucket.
#' 
#' For example, if you want your output stored in `S3://DOC-EXAMPLE-BUCKET`, set `OutputBucketName` to `DOC-EXAMPLE-BUCKET`. However, if you want your output stored in `S3://DOC-EXAMPLE-BUCKET/test-files/`, set `OutputBucketName` to `DOC-EXAMPLE-BUCKET` and `OutputKey` to `test-files/`.
#' 
#' Note that Amazon Transcribe must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also [Permissions Required for IAM User Roles](https://docs.aws.amazon.com/transcribe/latest/dg/security_iam_id-based-policy-examples.html#auth-role-iam-user).
#' 
#' If you do not specify `OutputBucketName`, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.
#' @param OutputKey Use in combination with `OutputBucketName` to specify the output location of your transcript and, optionally, a unique name for your output file. The default name for your transcription output is the same as the name you specified for your transcription job (`TranscriptionJobName`).
#' 
#' Here are some examples of how you can use `OutputKey`:
#' 
#' -   If you specify 'DOC-EXAMPLE-BUCKET' as the `OutputBucketName` and 'my-transcript.json' as the `OutputKey`, your transcription output path is `s3://DOC-EXAMPLE-BUCKET/my-transcript.json`.
#' 
#' -   If you specify 'my-first-transcription' as the `TranscriptionJobName`, 'DOC-EXAMPLE-BUCKET' as the `OutputBucketName`, and 'my-transcript' as the `OutputKey`, your transcription output path is `s3://DOC-EXAMPLE-BUCKET/my-transcript/my-first-transcription.json`.
#' 
#' -   If you specify 'DOC-EXAMPLE-BUCKET' as the `OutputBucketName` and 'test-files/my-transcript.json' as the `OutputKey`, your transcription output path is `s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json`.
#' 
#' -   If you specify 'my-first-transcription' as the `TranscriptionJobName`, 'DOC-EXAMPLE-BUCKET' as the `OutputBucketName`, and 'test-files/my-transcript' as the `OutputKey`, your transcription output path is `s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript/my-first-transcription.json`.
#' 
#' If you specify the name of an Amazon S3 bucket sub-folder that doesn't exist, one is created for you.
#' @param OutputEncryptionKMSKeyId The Amazon Resource Name (ARN) of a KMS key that you want to use to encrypt your transcription output.
#' 
#' KMS key ARNs have the format `arn:partition:kms:region:account:key/key-id`. For example: `arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab`. For more information, see [KMS key ARNs](https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#key-id-key-ARN).
#' 
#' If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).
#' 
#' Note that the role making the request and the role specified in the `DataAccessRoleArn` request parameter (if present) must have permission to use the specified KMS key.
#' @param KMSEncryptionContext A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see [KMS encryption context](https://docs.aws.amazon.com/transcribe/latest/dg/#kms-context) and [Asymmetric keys in KMS](https://docs.aws.amazon.com/transcribe/latest/dg/).
#' @param Settings Specify additional optional settings in your request, including channel identification, alternative transcriptions, speaker partitioning. You can use that to apply custom vocabularies and vocabulary filters.
#' 
#' If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but **do not** want to use automatic language identification, use `Settings` with the `VocabularyName` or `VocabularyFilterName` (or both) sub-parameter.
#' 
#' If you're using automatic language identification with your request and want to include a custom language model, a custom vocabulary, or a custom vocabulary filter, use instead the `` parameter with the `LanguageModelName`, `VocabularyName` or `VocabularyFilterName` sub-parameters.
#' @param ModelSettings Specify the custom language model you want to include with your transcription job. If you include `ModelSettings` in your request, you must include the `LanguageModelName` sub-parameter.
#' 
#' For more information, see [Custom language models](https://docs.aws.amazon.com/transcribe/latest/dg/custom-language-models.html).
#' @param JobExecutionSettings Makes it possible to control how your transcription job is processed. Currently, the only `JobExecutionSettings` modification you can choose is enabling job queueing using the `AllowDeferredExecution` sub-parameter.
#' 
#' If you include `JobExecutionSettings` in your request, you must also include the sub-parameters: `AllowDeferredExecution` and `DataAccessRoleArn`.
#' @param ContentRedaction Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript. If you use `ContentRedaction`, you must also include the sub-parameters: `RedactionOutput` and `RedactionType`. You can optionally include `PiiEntityTypes` to choose which types of PII you want to redact. If you do not include `PiiEntityTypes` in your request, all PII is redacted.
#' @param IdentifyLanguage Enables automatic language identification in your transcription job request. Use this parameter if your media file contains only one language. If your media contains multiple languages, use `IdentifyMultipleLanguages` instead.
#' 
#' If you include `IdentifyLanguage`, you can optionally include a list of language codes, using `LanguageOptions`, that you think may be present in your media file. Including `LanguageOptions` restricts `IdentifyLanguage` to only the language options that you specify, which can improve transcription accuracy.
#' 
#' If you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter to your automatic language identification request, include `LanguageIdSettings` with the relevant sub-parameters (`VocabularyName`, `LanguageModelName`, and `VocabularyFilterName`). If you include `LanguageIdSettings`, also include `LanguageOptions`.
#' 
#' Note that you must include one of `LanguageCode`, `IdentifyLanguage`, or `IdentifyMultipleLanguages` in your request. If you include more than one of these parameters, your transcription job fails.
#' @param IdentifyMultipleLanguages Enables automatic multi-language identification in your transcription job request. Use this parameter if your media file contains more than one language. If your media contains only one language, use `IdentifyLanguage` instead.
#' 
#' If you include `IdentifyMultipleLanguages`, you can optionally include a list of language codes, using `LanguageOptions`, that you think may be present in your media file. Including `LanguageOptions` restricts `IdentifyLanguage` to only the language options that you specify, which can improve transcription accuracy.
#' 
#' If you want to apply a custom vocabulary or a custom vocabulary filter to your automatic language identification request, include `LanguageIdSettings` with the relevant sub-parameters (`VocabularyName` and `VocabularyFilterName`). If you include `LanguageIdSettings`, also include `LanguageOptions`.
#' 
#' Note that you must include one of `LanguageCode`, `IdentifyLanguage`, or `IdentifyMultipleLanguages` in your request. If you include more than one of these parameters, your transcription job fails.
#' @param LanguageOptions You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter.
#' 
#' If you include `LanguageOptions` in your request, you must also include `IdentifyLanguage`.
#' 
#' For more information, refer to [Supported languages](https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html).
#' 
#' To transcribe speech in Modern Standard Arabic (`ar-SA`)in Amazon Web Services GovCloud (US) (US-West, us-gov-west-1), Amazon Web Services GovCloud (US) (US-East, us-gov-east-1), in Canada (Calgary) ca-west-1 and Africa (Cape Town) af-south-1, your media file must be encoded at a sample rate of 16,000 Hz or higher.
#' @param Subtitles Produces subtitle files for your input media. You can specify WebVTT (*.vtt) and SubRip (*.srt) formats.
#' @param Tags Adds one or more custom tags, each in the form of a key:value pair, to a new transcription job at the time you start this new job.
#' 
#' To learn more about using tags with Amazon Transcribe, refer to [Tagging resources](https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html).
#' @param LanguageIdSettings If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include `LanguageIdSettings` with the relevant sub-parameters (`VocabularyName`, `LanguageModelName`, and `VocabularyFilterName`). Note that multi-language identification (`IdentifyMultipleLanguages`) doesn't support custom language models.
#' 
#' `LanguageIdSettings` supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.
#' 
#' It's recommended that you include `LanguageOptions` when using `LanguageIdSettings` to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is in `en-US` but Amazon Transcribe determines that the language spoken in your media is `en-AU`, your custom vocabulary *is not* applied to your transcription. If you include `LanguageOptions` and include `en-US` as the only English language dialect, your custom vocabulary *is* applied to your transcription.
#' 
#' If you want to include a custom language model with your request but **do not** want to use automatic language identification, use instead the `` parameter with the `LanguageModelName` sub-parameter. If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but **do not** want to use automatic language identification, use instead the `` parameter with the `VocabularyName` or `VocabularyFilterName` (or both) sub-parameter.
#' @param ToxicityDetection Enables toxic speech detection in your transcript. If you include `ToxicityDetection` in your request, you must also include `ToxicityCategories`.
#' 
#' For information on the types of toxic speech Amazon Transcribe can detect, see [Detecting toxic speech](https://docs.aws.amazon.com/transcribe/latest/dg/).
#'
#' @keywords internal
#'
#' @rdname transcribeservice_start_transcription_job
transcribeservice_start_transcription_job <- function(TranscriptionJobName, LanguageCode = NULL, MediaSampleRateHertz = NULL, MediaFormat = NULL, Media, OutputBucketName = NULL, OutputKey = NULL, OutputEncryptionKMSKeyId = NULL, KMSEncryptionContext = NULL, Settings = NULL, ModelSettings = NULL, JobExecutionSettings = NULL, ContentRedaction = NULL, IdentifyLanguage = NULL, IdentifyMultipleLanguages = NULL, LanguageOptions = NULL, Subtitles = NULL, Tags = NULL, LanguageIdSettings = NULL, ToxicityDetection = NULL) {
  op <- new_operation(
    name = "StartTranscriptionJob",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$start_transcription_job_input(TranscriptionJobName = TranscriptionJobName, LanguageCode = LanguageCode, MediaSampleRateHertz = MediaSampleRateHertz, MediaFormat = MediaFormat, Media = Media, OutputBucketName = OutputBucketName, OutputKey = OutputKey, OutputEncryptionKMSKeyId = OutputEncryptionKMSKeyId, KMSEncryptionContext = KMSEncryptionContext, Settings = Settings, ModelSettings = ModelSettings, JobExecutionSettings = JobExecutionSettings, ContentRedaction = ContentRedaction, IdentifyLanguage = IdentifyLanguage, IdentifyMultipleLanguages = IdentifyMultipleLanguages, LanguageOptions = LanguageOptions, Subtitles = Subtitles, Tags = Tags, LanguageIdSettings = LanguageIdSettings, ToxicityDetection = ToxicityDetection)
  output <- .transcribeservice$start_transcription_job_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$start_transcription_job <- transcribeservice_start_transcription_job

#' Adds one or more custom tags, each in the form of a key:value pair, to
#' the specified resource
#'
#' @description
#' Adds one or more custom tags, each in the form of a key:value pair, to the specified resource.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_tag_resource/](https://www.paws-r-sdk.com/docs/transcribeservice_tag_resource/) for full documentation.
#'
#' @param ResourceArn &#91;required&#93; The Amazon Resource Name (ARN) of the resource you want to tag. ARNs have the format `arn:partition:service:region:account-id:resource-type/resource-id`.
#' 
#' For example, `arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name`.
#' 
#' Valid values for `resource-type` are: `transcription-job`, `medical-transcription-job`, `vocabulary`, `medical-vocabulary`, `vocabulary-filter`, and `language-model`.
#' @param Tags &#91;required&#93; Adds one or more custom tags, each in the form of a key:value pair, to the specified resource.
#' 
#' To learn more about using tags with Amazon Transcribe, refer to [Tagging resources](https://docs.aws.amazon.com/transcribe/latest/dg/tagging.html).
#'
#' @keywords internal
#'
#' @rdname transcribeservice_tag_resource
transcribeservice_tag_resource <- function(ResourceArn, Tags) {
  op <- new_operation(
    name = "TagResource",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$tag_resource_input(ResourceArn = ResourceArn, Tags = Tags)
  output <- .transcribeservice$tag_resource_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$tag_resource <- transcribeservice_tag_resource

#' Removes the specified tags from the specified Amazon Transcribe resource
#'
#' @description
#' Removes the specified tags from the specified Amazon Transcribe resource.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_untag_resource/](https://www.paws-r-sdk.com/docs/transcribeservice_untag_resource/) for full documentation.
#'
#' @param ResourceArn &#91;required&#93; The Amazon Resource Name (ARN) of the Amazon Transcribe resource you want to remove tags from. ARNs have the format `arn:partition:service:region:account-id:resource-type/resource-id`.
#' 
#' For example, `arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name`.
#' 
#' Valid values for `resource-type` are: `transcription-job`, `medical-transcription-job`, `vocabulary`, `medical-vocabulary`, `vocabulary-filter`, and `language-model`.
#' @param TagKeys &#91;required&#93; Removes the specified tag keys from the specified Amazon Transcribe resource.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_untag_resource
transcribeservice_untag_resource <- function(ResourceArn, TagKeys) {
  op <- new_operation(
    name = "UntagResource",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$untag_resource_input(ResourceArn = ResourceArn, TagKeys = TagKeys)
  output <- .transcribeservice$untag_resource_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$untag_resource <- transcribeservice_untag_resource

#' Updates the specified Call Analytics category with new rules
#'
#' @description
#' Updates the specified Call Analytics category with new rules. Note that the [`update_call_analytics_category`][transcribeservice_update_call_analytics_category] operation overwrites all existing rules contained in the specified category. You cannot append additional rules onto an existing category.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_update_call_analytics_category/](https://www.paws-r-sdk.com/docs/transcribeservice_update_call_analytics_category/) for full documentation.
#'
#' @param CategoryName &#91;required&#93; The name of the Call Analytics category you want to update. Category names are case sensitive.
#' @param Rules &#91;required&#93; The rules used for the updated Call Analytics category. The rules you provide in this field replace the ones that are currently being used in the specified category.
#' @param InputType Choose whether you want to update a real-time or a post-call category. The input type you specify must match the input type specified when the category was created. For example, if you created a category with the `POST_CALL` input type, you must use `POST_CALL` as the input type when updating this category.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_update_call_analytics_category
transcribeservice_update_call_analytics_category <- function(CategoryName, Rules, InputType = NULL) {
  op <- new_operation(
    name = "UpdateCallAnalyticsCategory",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$update_call_analytics_category_input(CategoryName = CategoryName, Rules = Rules, InputType = InputType)
  output <- .transcribeservice$update_call_analytics_category_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$update_call_analytics_category <- transcribeservice_update_call_analytics_category

#' Updates the encryption configuration for an existing custom language
#' model
#'
#' @description
#' Updates the encryption configuration for an existing custom language model. You can use this operation to change the KMS key used to encrypt your model artifacts. The model artifacts are re-encrypted in place. No model training is required.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_update_language_model/](https://www.paws-r-sdk.com/docs/transcribeservice_update_language_model/) for full documentation.
#'
#' @param ModelName &#91;required&#93; The name of the custom language model you want to update. Model names are case sensitive.
#' @param DataAccessRoleArn The Amazon Resource Name (ARN) of an IAM role. If you include `EncryptionConfiguration` in your request, this role must have permissions to access the specified KMS key. If the role that you specify doesn't have the appropriate permissions, your request fails.
#' 
#' IAM role ARNs have the format `arn:partition:iam::account:role/role-name-with-path`. For example: `arn:aws:iam::111122223333:role/Admin`.
#' 
#' For more information, see [IAM ARNs](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_identifiers.html#identifiers-arns).
#' @param EncryptionConfiguration Specifies the new encryption configuration for your custom language model. The model artifacts are re-encrypted in place using the specified KMS key or with an AWS-owned key if a key is not supplied.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_update_language_model
transcribeservice_update_language_model <- function(ModelName, DataAccessRoleArn = NULL, EncryptionConfiguration = NULL) {
  op <- new_operation(
    name = "UpdateLanguageModel",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$update_language_model_input(ModelName = ModelName, DataAccessRoleArn = DataAccessRoleArn, EncryptionConfiguration = EncryptionConfiguration)
  output <- .transcribeservice$update_language_model_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$update_language_model <- transcribeservice_update_language_model

#' Updates an existing custom medical vocabulary with new values
#'
#' @description
#' Updates an existing custom medical vocabulary with new values. This operation overwrites all existing information with your new values; you cannot append new terms onto an existing custom vocabulary.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_update_medical_vocabulary/](https://www.paws-r-sdk.com/docs/transcribeservice_update_medical_vocabulary/) for full documentation.
#'
#' @param VocabularyName &#91;required&#93; The name of the custom medical vocabulary you want to update. Custom medical vocabulary names are case sensitive.
#' @param LanguageCode &#91;required&#93; The language code that represents the language of the entries in the custom vocabulary you want to update. US English (`en-US`) is the only language supported with Amazon Transcribe Medical.
#' @param VocabularyFileUri &#91;required&#93; The Amazon S3 location of the text file that contains your custom medical vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling.
#' 
#' Here's an example URI path: `s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt`
#'
#' @keywords internal
#'
#' @rdname transcribeservice_update_medical_vocabulary
transcribeservice_update_medical_vocabulary <- function(VocabularyName, LanguageCode, VocabularyFileUri) {
  op <- new_operation(
    name = "UpdateMedicalVocabulary",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$update_medical_vocabulary_input(VocabularyName = VocabularyName, LanguageCode = LanguageCode, VocabularyFileUri = VocabularyFileUri)
  output <- .transcribeservice$update_medical_vocabulary_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$update_medical_vocabulary <- transcribeservice_update_medical_vocabulary

#' Updates an existing custom vocabulary with new values
#'
#' @description
#' Updates an existing custom vocabulary with new values. This operation overwrites all existing information with your new values; you cannot append new terms onto an existing custom vocabulary.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_update_vocabulary/](https://www.paws-r-sdk.com/docs/transcribeservice_update_vocabulary/) for full documentation.
#'
#' @param VocabularyName &#91;required&#93; The name of the custom vocabulary you want to update. Custom vocabulary names are case sensitive.
#' @param LanguageCode &#91;required&#93; The language code that represents the language of the entries in the custom vocabulary you want to update. Each custom vocabulary must contain terms in only one language.
#' 
#' A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (`en-US`), you can only apply this custom vocabulary to files that contain English audio.
#' 
#' For a list of supported languages and their associated language codes, refer to the [Supported languages](https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html) table.
#' @param Phrases Use this parameter if you want to update your custom vocabulary by including all desired terms, as comma-separated values, within your request. The other option for updating your custom vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the `VocabularyFileUri` parameter.
#' 
#' Note that if you include `Phrases` in your request, you cannot use `VocabularyFileUri`; you must choose one or the other.
#' 
#' Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to [Character Sets for Custom Vocabularies](https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html) to get the character set for your language.
#' @param VocabularyFileUri The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling.
#' 
#' Here's an example URI path: `s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt`
#' 
#' Note that if you include `VocabularyFileUri` in your request, you cannot use the `Phrases` flag; you must choose one or the other.
#' @param DataAccessRoleArn The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary). If you include `EncryptionConfiguration` in your request, this role must also have permissions to access the specified KMS key. If the role that you specify doesn’t have the appropriate permissions, your request fails.
#' 
#' IAM role ARNs have the format `arn:partition:iam::account:role/role-name-with-path`. For example: `arn:aws:iam::111122223333:role/Admin`.
#' 
#' For more information, see [IAM ARNs](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_identifiers.html#identifiers-arns).
#' @param EncryptionConfiguration Specifies the new encryption configuration for your custom vocabulary. The vocabulary artifacts are re-encrypted in place using the specified KMS key or with an AWS-owned key if a key is not supplied.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_update_vocabulary
transcribeservice_update_vocabulary <- function(VocabularyName, LanguageCode, Phrases = NULL, VocabularyFileUri = NULL, DataAccessRoleArn = NULL, EncryptionConfiguration = NULL) {
  op <- new_operation(
    name = "UpdateVocabulary",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$update_vocabulary_input(VocabularyName = VocabularyName, LanguageCode = LanguageCode, Phrases = Phrases, VocabularyFileUri = VocabularyFileUri, DataAccessRoleArn = DataAccessRoleArn, EncryptionConfiguration = EncryptionConfiguration)
  output <- .transcribeservice$update_vocabulary_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$update_vocabulary <- transcribeservice_update_vocabulary

#' Updates an existing custom vocabulary filter with a new list of words
#'
#' @description
#' Updates an existing custom vocabulary filter with a new list of words. The new list you provide overwrites all previous entries; you cannot append new terms onto an existing custom vocabulary filter.
#'
#' See [https://www.paws-r-sdk.com/docs/transcribeservice_update_vocabulary_filter/](https://www.paws-r-sdk.com/docs/transcribeservice_update_vocabulary_filter/) for full documentation.
#'
#' @param VocabularyFilterName &#91;required&#93; The name of the custom vocabulary filter you want to update. Custom vocabulary filter names are case sensitive.
#' @param Words Use this parameter if you want to update your custom vocabulary filter by including all desired terms, as comma-separated values, within your request. The other option for updating your vocabulary filter is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the `VocabularyFilterFileUri` parameter.
#' 
#' Note that if you include `Words` in your request, you cannot use `VocabularyFilterFileUri`; you must choose one or the other.
#' 
#' Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to [Character Sets for Custom Vocabularies](https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html) to get the character set for your language.
#' @param VocabularyFilterFileUri The Amazon S3 location of the text file that contains your custom vocabulary filter terms. The URI must be located in the same Amazon Web Services Region as the resource you're calling.
#' 
#' Here's an example URI path: `s3://DOC-EXAMPLE-BUCKET/my-vocab-filter-file.txt`
#' 
#' Note that if you include `VocabularyFilterFileUri` in your request, you cannot use `Words`; you must choose one or the other.
#' @param DataAccessRoleArn The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary filter). If you include `EncryptionConfiguration` in your request, this role must also have permissions to access the specified KMS key. If the role that you specify doesn’t have the appropriate permissions, your request fails.
#' 
#' IAM role ARNs have the format `arn:partition:iam::account:role/role-name-with-path`. For example: `arn:aws:iam::111122223333:role/Admin`.
#' 
#' For more information, see [IAM ARNs](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_identifiers.html#identifiers-arns).
#' @param EncryptionConfiguration Specifies the new encryption configuration for your custom vocabulary filter. The vocabulary filter artifacts are re-encrypted in place using the specified KMS key or with an AWS-owned key if a key is not supplied.
#'
#' @keywords internal
#'
#' @rdname transcribeservice_update_vocabulary_filter
transcribeservice_update_vocabulary_filter <- function(VocabularyFilterName, Words = NULL, VocabularyFilterFileUri = NULL, DataAccessRoleArn = NULL, EncryptionConfiguration = NULL) {
  op <- new_operation(
    name = "UpdateVocabularyFilter",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(),
    stream_api = FALSE,
    http_checksum = NULL
  )
  input <- .transcribeservice$update_vocabulary_filter_input(VocabularyFilterName = VocabularyFilterName, Words = Words, VocabularyFilterFileUri = VocabularyFilterFileUri, DataAccessRoleArn = DataAccessRoleArn, EncryptionConfiguration = EncryptionConfiguration)
  output <- .transcribeservice$update_vocabulary_filter_output()
  config <- get_config()
  svc <- .transcribeservice$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.transcribeservice$operations$update_vocabulary_filter <- transcribeservice_update_vocabulary_filter