Speech Synthesis
Last updated
Last updated
- PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models.
- Can generate high quality raw speech samples conditioned on linguistic or acoustic features.
- Translate your content into other languages with a voice that sounds like yours.
- CUDA reference implementation of autoregressive WaveNet inference.
- Auto-regressive flow-based generative network for text to speech synthesis.
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- Emotionally Expressive Text to Speech.
- Fast, high-quality neural vocoder and waveform synthesizer.
- Unofficial PyTorch implementation of Google AI's VoiceFilter system. ()