v0.20.6 #3251
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v0.20.6 #3251
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…nb (#3230) * 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
* Add sentence spliting * update requirements * update default args v2 * Add spanish * Fix return gpt_latents * Update requirements * Fix requirements
Update versions
…ing (#3241) * Ensures that only GPT model is in training mode during training * Fix parallel wavegan unit test
…ing (#3241) * Ensures that only GPT model is in training mode during training * Fix parallel wavegan unit test
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