pyampact.speechDescriptorsUtils.compute_mfcc

pyampact.speechDescriptorsUtils.compute_mfcc(seg, sr, n_mfcc=13, n_fft=2048, hop_length=512)[source]

Compute Mel Frequency Cepstral Coefficients (MFCCs)

Parameters:

  • seg (Praat Sound Object) – segment of Sound cut around onset and offset

  • n_mfcc (int) – number of coefficients to return; default = 13

  • n_fft (int) – FFT window size; default = 2048

  • hop_length (int) – number of samples of analysis advances between consecutive frames; default = 512

Returns:

mfcc – list of MFCCs

Return type:

JSON Stringified list