def test_py_feat_interface(self):
''' test python feat interface '''
sr_out, samples = speech_feature.load_wav(self.wavfile, sr=self.sr)
self.assertEqual(sr_out, self.sr)
pspec = speech_feature.powspec_feat(samples,
sr=self.sr,
nfft=self.nfft,
winlen=self.winlen,
winstep=self.winstep)
self.assertEqual(pspec.shape, (426, 257))
fbank = speech_feature.fbank_feat(pspec,
feature_size=self.feature_size,
sr=self.sr,
nfft=self.nfft)
self.assertEqual(fbank.shape, (426, 40))
fbank = speech_feature.delta_delta(fbank, sr=self.sr)
self.assertEqual(fbank.shape, (426, 40, 3))
feat_ = speech_feature.extract_fbank(samples,
sr=self.sr,
winlen=self.winlen,
winstep=self.winstep,
feature_size=self.feature_size)
self.assertEqual(feat_.shape, (426, 40, 3))
samples = np.pad(samples, [0, 100], mode='constant')
pspec = speech_feature.powspec_feat(samples,
sr=self.sr,
nfft=self.nfft,
winlen=self.winlen,
winstep=self.winstep)
self.assertEqual(pspec.shape, (427, 257))
fbank = speech_feature.fbank_feat(pspec,
feature_size=self.feature_size,
sr=self.sr,
nfft=self.nfft)
fbank = speech_feature.delta_delta(fbank, sr=self.sr)
self.assertEqual(fbank.shape, (427, 40, 3))
def test_py_extract_feat(self):
''' test python fbank with delta-delta interface '''
speech_feature.extract_feat((self.wavfile),
winlen=self.winlen,
winstep=self.winstep,
sr=self.sr,
feature_size=self.feature_size,
nfft=self.nfft,
feat_type=self.feat_type)
feat = np.load(self.featfile)
self.assertEqual(feat.shape, (426, 40))
feat = speech_feature.delta_delta(feat, sr=self.sr)
self.assertEqual(feat.shape, (426, 40, 3))
