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mel-gan

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keonlee9420 / Comprehensive-Transformer-TTS

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A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS

text-to-speech deep-learning unsupervised pytorch tts speech-synthesis transformer supervised multi-speaker sota comprehensive single-speaker neural-tts non-autoregressive fastspeech fastspeech2 hifi-gan non-ar mel-gan ultimate-tts
  • Updated Sep 24, 2022
  • Python

keonlee9420 / Comprehensive-Tacotron2

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PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.

text-to-speech deep-learning efficiency pytorch tts speech-synthesis autoregressive multi-speaker robustness comprehensive tacotron single-speaker neural-tts tacotron2 reduction-factor hifi-gan mel-gan diagonal-guided-attention
  • Updated Jul 31, 2023
  • Python

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