def _extract_feats(wavFiles):
fbankExtractor = speakin_voice_feats.genFbankExtractor(
allow_downsample=True, sample_frequency=8000, frame_length=25, frame_shift=10, high_freq=3700, low_freq=20, num_mel_bins=63)
vadComputer = speakin_voice_feats.createVadComputer()
for wavFile in wavFiles:
fbankFeats = speakin_voice_feats.extractFeats(fbankExtractor, wavFile)
vadResult = speakin_voice_feats.computeVad(vadComputer, fbankFeats)
yield fbankFeats, vadResult
def _extract_feats(wavFiles): ### 提取特征
mfccExtracotr = speakin_voice_feats.genMfccExtractor(allow_downsample=True,
sample_frequency=8000,
frame_length=25,
frame_shift=10,
high_freq=3700,
low_freq=20)
vadComputer = speakin_voice_feats.createVadComputer()
for wavFile in wavFiles:
mfccFeats = speakin_voice_feats.extractFeats(mfccExtracotr, wavFile)
vadresult = speakin_voice_feats.computeVad(vadComputer, mfccFeats)
yield mfccFeats, vadresult
def _speakinMfcc(audioPath):
rawAudio = AudioSegment.from_wav(audioPath)
if rawAudio.frame_rate != 8000:
raise Exception("wrong sample rate")
if rawAudio.sample_width != 2:
raise Exception("wrong sample width")
if rawAudio.channels != 1:
raise Exception("wrong channel count")
mfccFeats = speakin_voice_feats.extractFeats(_mfccExtractor, audioPath)
mfccFeats = speakin_voice_feats.computeDelta(_deltaExtractor, mfccFeats)
mfccFeats = np.array(mfccFeats)
return rawAudio, mfccFeats
def _extractFeats(wavFile):
mfccFeats = speakin_voice_feats.extractFeats(_mfccExtractor, wavFile)
vadResult = speakin_voice_feats.computeVad(_vadComputer, mfccFeats)
return mfccFeats, vadResult
def _speakinMfcc(audioPath):
mfccFeats = speakin_voice_feats.extractFeats(_mfccExtractor, audioPath)
mfccFeats = speakin_voice_feats.computeDelta(_deltaExtractor, mfccFeats)
mfccFeats = np.array(mfccFeats)
print(mfccFeats)
return mfccFeats
def _extractFeats(wavFile):
fbankFeats = speakin_voice_feats.extractFeats(_fbankExtractor, wavFile)
vadResult = speakin_voice_feats.computeVad(_vadComputer, fbankFeats)
return fbankFeats, vadResult