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| import librosa | |
| from utils.audio import librosa_wav2spec | |
| from utils.commons.hparams import hparams | |
| import numpy as np | |
| REGISTERED_VOCODERS = {} | |
| def register_vocoder(name): | |
| def _f(cls): | |
| REGISTERED_VOCODERS[name] = cls | |
| return cls | |
| return _f | |
| def get_vocoder_cls(vocoder_name): | |
| return REGISTERED_VOCODERS.get(vocoder_name) | |
| class BaseVocoder: | |
| def spec2wav(self, mel): | |
| """ | |
| :param mel: [T, 80] | |
| :return: wav: [T'] | |
| """ | |
| raise NotImplementedError | |
| def wav2spec(wav_fn): | |
| """ | |
| :param wav_fn: str | |
| :return: wav, mel: [T, 80] | |
| """ | |
| wav_spec_dict = librosa_wav2spec(wav_fn, fft_size=hparams['fft_size'], | |
| hop_size=hparams['hop_size'], | |
| win_length=hparams['win_size'], | |
| num_mels=hparams['audio_num_mel_bins'], | |
| fmin=hparams['fmin'], | |
| fmax=hparams['fmax'], | |
| sample_rate=hparams['audio_sample_rate'], | |
| loud_norm=hparams['loud_norm']) | |
| wav = wav_spec_dict['wav'] | |
| mel = wav_spec_dict['mel'] | |
| return wav, mel | |
| def wav2mfcc(wav_fn): | |
| fft_size = hparams['fft_size'] | |
| hop_size = hparams['hop_size'] | |
| win_length = hparams['win_size'] | |
| sample_rate = hparams['audio_sample_rate'] | |
| wav, _ = librosa.core.load(wav_fn, sr=sample_rate) | |
| mfcc = librosa.feature.mfcc(y=wav, sr=sample_rate, n_mfcc=13, | |
| n_fft=fft_size, hop_length=hop_size, | |
| win_length=win_length, pad_mode="constant", power=1.0) | |
| mfcc_delta = librosa.feature.delta(mfcc, order=1) | |
| mfcc_delta_delta = librosa.feature.delta(mfcc, order=2) | |
| mfcc = np.concatenate([mfcc, mfcc_delta, mfcc_delta_delta]).T | |
| return mfcc | |