functional_mu_law_decoding: Mu Law Decoding (functional)
In curso-r/torchaudio: R Interface to 'pytorch''s 'torchaudio'
functional_mu_law_decoding R Documentation
Mu Law Decoding (functional)
Description
Decode mu-law encoded signal. For more info see the
Wikipedia Entry
Usage
functional_mu_law_decoding(x_mu, quantization_channels)
Arguments
x_mu
(Tensor): Input tensor
quantization_channels
(int): Number of channels
Details
This expects an input with values between 0 and quantization_channels - 1
and returns a signal scaled between -1 and 1.
Value
tensor: Input after mu-law decoding
curso-r/torchaudio documentation built on May 4, 2023, 2:27 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| functional_mu_law_decoding | R Documentation |
Mu Law Decoding (functional)
Description
Decode mu-law encoded signal. For more info see the Wikipedia Entry
Usage
functional_mu_law_decoding(x_mu, quantization_channels)
Arguments
x_mu |
(Tensor): Input tensor |
quantization_channels |
(int): Number of channels |
Details
This expects an input with values between 0 and quantization_channels - 1 and returns a signal scaled between -1 and 1.
Value
tensor: Input after mu-law decoding
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.