Some Question When Extracting MFCC Features · Issue #595 - GitHub

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Additional navigation options Some question when extracting MFCC features #595New issueNew issueClosedClosedSome question when extracting MFCC features#595LabelsquestionIssues asking for help doing something@JinmingZhao

Description

@JinmingZhaoJinmingZhaoopened on Jul 5, 2017

The audio information: Input File : 'aa.wav' Channels : 1 Sample Rate : 16000 Precision : 16-bit Duration : 00:00:00.64 = 10160 samples ~ 47.625 CDDA sectors File Size : 20.4k Bit Rate : 257k Sample Encoding: 16-bit Signed Integer PCM

when use the "frame length=25ms, frame shift=10ms" , number of frames should be (10160-240)/160=62frames. and get 62 frame in kaldi.

But use librosa to extract the MFCC features, I got 64 frames:

sr = 16000 n_mfcc = 13 n_mels = 40 n_fft = 512 win_length = 400 # 0.025*16000 hop_length = 160 # 0.010 * 16000 window = 'hamming' fmin = 20 fmax = 4000 y, sr = librosa.load(wav_file, sr=16000) print(sr) D = numpy.abs(librosa.stft(y, window=window, n_fft=n_fft, win_length=win_length, hop_length=hop_length))**2 S = feature.melspectrogram(S=D, y=y, n_mels=n_mels, fmin=fmin, fmax=fmax) feats = feature.mfcc(S=librosa.power_to_db(S), n_mfcc=n_mfcc) print(feats.shape)

OR

feats = feature.mfcc(y=y, n_mfcc=n_mfcc, n_fft=n_fft, n_mels=n_mels, fmin=fmin, hop_length=hop_length)

all of the two librosa code will result in (13,64) shape.

Another question, in the feature.mfcc() function: Could I directly given the window_length, window, hop_length parameters?

Look forward to your reply.

Thanks Jinming

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