mirror of https://github.com/coqui-ai/TTS.git
* chore: remove unused argument * refactor(audio.processor): remove duplicate stft+griffin_lim * chore(audio.processor): remove unused compute_stft_paddings Same function available in numpy_transforms * refactor(audio.processor): remove duplicate db_to_amp * refactor(audio.processor): remove duplicate amp_to_db * refactor(audio.processor): remove duplicate linear_to_mel * refactor(audio.processor): remove duplicate mel_to_linear * refactor(audio.processor): remove duplicate build_mel_basis * refactor(audio.processor): remove duplicate stft_parameters * refactor(audio.processor): use pre-/deemphasis from numpy_transforms * refactor(audio.processor): use rms_volume_norm from numpy_transforms * chore(audio.processor): remove duplicate assert Already checked in numpy_transforms.compute_f0 * refactor(audio.processor): use find_endpoint from numpy_transforms * refactor(audio.processor): use trim_silence from numpy_transforms * refactor(audio.processor): use volume_norm from numpy_transforms * refactor(audio.processor): use load_wav from numpy_transforms * fix(bin.extract_tts_spectrograms): set quantization bits * fix(ExtractTTSpectrogram.ipynb): adapt to current TTS code Fixes #2447, #2574 * refactor(audio.processor): remove duplicate quantization methods |
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.. | ||
__init__.py | ||
test_fullband_melgan_train.py | ||
test_hifigan_train.py | ||
test_melgan_train.py | ||
test_multiband_melgan_train.py | ||
test_parallel_wavegan_train.py | ||
test_vocoder_gan_datasets.py | ||
test_vocoder_losses.py | ||
test_vocoder_melgan_discriminator.py | ||
test_vocoder_melgan_generator.py | ||
test_vocoder_parallel_wavegan_discriminator.py | ||
test_vocoder_parallel_wavegan_generator.py | ||
test_vocoder_pqmf.py | ||
test_vocoder_rwd.py | ||
test_vocoder_wavernn.py | ||
test_vocoder_wavernn_datasets.py | ||
test_wavegrad.py | ||
test_wavegrad_layers.py | ||
test_wavegrad_train.py | ||
test_wavernn_train.py |