Package to make acoustic cues to use with ndl or ndl2.
The packages main function is
readWavesurfer are helper functions that read the corresponding annotation
files and return a data.frame.
CorpusCoder codes a whole corpus given a vector
with the path to and names of wave files and a vector for the annotation files.
word_classification_data provides data from Arnold et al 2017
Reference to to paper in accepted form.
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## Not run: # assuming the corpus contains wave files and praat textgrids setwd(~/Data/MyCorpus) # assuming everything is in one place #assuming you have one wav for each annotation Waves=list.files(pattern="*.wav",recursive=T) Annotations=list.files(pattern="*.TextGrids",recursive=T) # see above # Lets assume the annotation is in UTF-8 and you want everything from a tier called words # Lets assume tha you want to dismiss everything in <|> # Lets assume that have 4 cores available # Lets assume that you want the defaut settings for the parameters Data=CorpusCoderCorpusCoder(Waves, Annotations, AnnotationType = "TextGrid", TierName = "words", Dismiss = "<|>", Encoding, Fast = F, Cores = 4, IntensitySteps = 5, Smooth = 800) ## End(Not run)
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