def get_f0s_from_list(conf, list_file, wav_dir):
# open list file
with open(list_file, 'r') as fp:
files = fp.readlines()
f0s = []
for f in files:
# open wave file
f = f.rstrip()
wavf = os.path.join(wav_dir, f + '.wav')
fs, x = wavfile.read(wavf)
x = np.array(x, dtype=np.float)
assert fs == conf.wav_fs
print("Extract F0: " + wavf)
# constract FeatureExtractor clas
feat = FeatureExtractor(analyzer=conf.analyzer,
fs=conf.wav_fs,
fftl=conf.wav_fftl,
shiftms=conf.wav_shiftms,
minf0=conf.f0_minf0,
maxf0=conf.f0_maxf0)
f0 = feat.analyze_f0(x)
f0s.append(f0)
return f0s
def get_f0s_from_list(conf, list_file, wav_dir):
"""Get f0s from listfile
Parameters
---------
conf : SpeakerYML,
Speaker dependent YAML class
listfile : str, path-like,
File path of the list file of the speaker
wav_dir : str, path-like,
Directory path of the waveform
Returns
---------
f0s : list, shape(`num_files`),
List of the f0s
"""
# open list file
with open(list_file, 'r') as fp:
files = fp.readlines()
f0s = []
for f in files:
# open wave file
f = f.rstrip()
wavf = os.path.join(wav_dir, f + '.wav')
fs, x = wavfile.read(wavf)
x = np.array(x, dtype=np.float)
x = low_cut_filter(x, fs, cutoff=70)
assert fs == conf.wav_fs
print("Extract F0: " + wavf)
# constract FeatureExtractor clas
feat = FeatureExtractor(analyzer=conf.analyzer,
fs=conf.wav_fs,
fftl=conf.wav_fftl,
shiftms=conf.wav_shiftms,
minf0=conf.f0_minf0,
maxf0=conf.f0_maxf0)
f0 = feat.analyze_f0(x)
f0s.append(f0)
return f0s
def get_f0s_from_list(conf, list_file, wav_dir):
"""Get f0s from listfile
Parameters
---------
conf : SpeakerYML,
Speaker dependent YAML class
listfile : str, path-like,
File path of the list file of the speaker
wav_dir : str, path-like,
Directory path of the waveform
Returns
---------
f0s : list, shape(`num_files`),
List of the f0s
"""
# open list file
with open(list_file, 'r') as fp:
files = fp.readlines()
f0s = []
for f in files:
# open wave file
f = f.rstrip()
wavf = os.path.join(wav_dir, f + '.wav')
fs, x = wavfile.read(wavf)
x = np.array(x, dtype=np.float)
x = low_cut_filter(x, fs, cutoff=70)
assert fs == conf.wav_fs
print("Extract F0: " + wavf)
# constract FeatureExtractor clas
feat = FeatureExtractor(analyzer=conf.analyzer, fs=conf.wav_fs,
fftl=conf.wav_fftl, shiftms=conf.wav_shiftms,
minf0=conf.f0_minf0, maxf0=conf.f0_maxf0)
f0 = feat.analyze_f0(x)
f0s.append(f0)
return f0s
def main(*argv):
argv = argv if argv else sys.argv[1:]
dcp = 'create speaker-dependent configure file (speaker.yml)'
parser = argparse.ArgumentParser(description=dcp)
parser.add_argument('speaker', type=str, help='Input speaker label')
parser.add_argument('list_file',
type=str,
help='List file of the input speaker')
parser.add_argument('wav_dir', type=str, help='Directory of wav file')
parser.add_argument('figure_dir',
type=str,
help='Directory for figure output')
args = parser.parse_args(argv)
# open list file
with open(args.list_file, 'r') as fp:
files = fp.readlines()
f0s = []
for f in files:
# open waveform
f = f.rstrip()
wavf = os.path.join(args.wav_dir, f + '.wav')
fs, x = wavfile.read(wavf)
x = np.array(x, dtype=np.float)
print("Extract f0: " + wavf)
# constract FeatureExtractor clas
feat = FeatureExtractor(analyzer='world', fs=fs)
f0 = feat.analyze_f0(x)
# f0 extraction
f0s.append(f0)
# create a figure to visualize F0 range of the speaker
f0histogrampath = os.path.join(args.figure_dir,
args.speaker + '_f0histogram.png')
create_f0_histogram(np.hstack(f0s).flatten(), f0histogrampath)
