def make_wav(path_list, enhanced_wav_dir):
for path in path_list:
uttid, feat_path, angle_path = path
feat_mat = kaldi_io.read_mat(feat_path)
angle_mat = kaldi_io.read_mat(angle_path)
image = np.sin(angle_mat) * feat_mat
real = np.cos(angle_mat) * feat_mat
result = 1j * image
result += real
D = librosa.istft(result,
n_fft=512,
hop_length=256,
win_length=512,
window=scipy.signal.hamming)
wav_file = os.path.join(enhanced_wav_dir, uttid + '.wav')
wav.write(wav_file, 16000, D)
def extract_kaldi_feat(self, feat_path, feat_type='kaldi_magspec'):
try:
utt_mat = kaldi_io.read_mat(feat_path)
##utt_mat = utt_mat[:, :256]
if feat_type == 'kaldi_magspec':
spect = utt_mat
elif feat_type == 'kaldi_powspec':
spect = np.square(utt_mat)
return spect
except:
print(feat_path, 'extract_kaldi_feat error')
return None
def load_feat(self, feat_path, delta_order=0):
try:
if "ark:" in feat_path:
feat = kaldi_io.read_mat(feat_path)
else:
feat = np.load(feat_path)
if feat is not None and delta_order > 0:
feat = add_delta(feat, delta_order)
except:
#print('{} has error'.format(feat_path))
feat = None
return feat