AudioGPT / text_to_speech /utils /audio /pitch_extractors.py
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import numpy as np
from text_to_speech.utils.audio.pitch.utils import denorm_f0, norm_f0, f0_to_coarse
import parselmouth
PITCH_EXTRACTOR = {}
def register_pitch_extractor(name):
def register_pitch_extractor_(cls):
PITCH_EXTRACTOR[name] = cls
return cls
return register_pitch_extractor_
def get_pitch_extractor(name):
return PITCH_EXTRACTOR[name]
def extract_pitch_simple(wav):
from text_to_speech.utils.commons.hparams import hparams
return extract_pitch(hparams['pitch_extractor'], wav,
hparams['hop_size'], hparams['audio_sample_rate'],
f0_min=hparams['f0_min'], f0_max=hparams['f0_max'])
def extract_pitch(extractor_name, wav_data, hop_size, audio_sample_rate, f0_min=75, f0_max=800, **kwargs):
return get_pitch_extractor(extractor_name)(wav_data, hop_size, audio_sample_rate, f0_min, f0_max, **kwargs)
@register_pitch_extractor('parselmouth')
def parselmouth_pitch(wav_data, hop_size, audio_sample_rate, f0_min, f0_max,
voicing_threshold=0.6, *args, **kwargs):
import parselmouth
time_step = hop_size / audio_sample_rate * 1000
n_mel_frames = int(len(wav_data) // hop_size)
f0_pm = parselmouth.Sound(wav_data, audio_sample_rate).to_pitch_ac(
time_step=time_step / 1000, voicing_threshold=voicing_threshold,
pitch_floor=f0_min, pitch_ceiling=f0_max).selected_array['frequency']
pad_size = (n_mel_frames - len(f0_pm) + 1) // 2
f0 = np.pad(f0_pm, [[pad_size, n_mel_frames - len(f0_pm) - pad_size]], mode='constant')
return f0
def get_pitch(wav_data, mel, hparams):
"""
:param wav_data: [T]
:param mel: [T, 80]
:param hparams:
:return:
"""
time_step = hparams['hop_size'] / hparams['audio_sample_rate'] * 1000
f0_min = 80
f0_max = 750
if hparams['pitch_extractor'] == 'harvest':
import pyworld as pw
f0, t = pw.harvest(wav_data.astype(np.double), hparams['audio_sample_rate'],
frame_period=hparams['hop_size'] / hparams['audio_sample_rate'] * 1000)
if hparams['pitch_extractor'] == 'dio':
_f0, t = pw.dio(wav_data.astype(np.double), hparams['audio_sample_rate'],
frame_period=hparams['hop_size'] / hparams['audio_sample_rate'] * 1000)
f0 = pw.stonemask(wav_data.astype(np.double), _f0, t, hparams['audio_sample_rate']) # pitch refinement
elif hparams['pitch_extractor'] == 'parselmouth':
if hparams['hop_size'] == 128:
pad_size = 4
elif hparams['hop_size'] == 256:
pad_size = 2
else:
assert False
f0 = parselmouth.Sound(wav_data, hparams['audio_sample_rate']).to_pitch_ac(
time_step=time_step / 1000, voicing_threshold=0.6,
pitch_floor=f0_min, pitch_ceiling=f0_max).selected_array['frequency']
lpad = pad_size * 2
rpad = len(mel) - len(f0) - lpad
f0 = np.pad(f0, [[lpad, rpad]], mode='constant')
# mel和f0是2个库抽的 需要保证两者长度一致
delta_l = len(mel) - len(f0)
assert np.abs(delta_l) <= 8
if delta_l > 0:
f0 = np.concatenate([f0, [f0[-1]] * delta_l], 0)
f0 = f0[:len(mel)]
pitch_coarse = f0_to_coarse(f0)
return f0, pitch_coarse