Medix-AI/coqui-tts
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coqui-tts
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update readme add latest model updates

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erogol 2020-11-09 17:57:33 +01:00
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@ -47,6 +47,7 @@ Speaker Encoder:
Vocoders:
- MelGAN: [paper](https://arxiv.org/abs/1710.10467)
- MultiBandMelGAN: [paper](https://arxiv.org/abs/2005.05106)
- ParallelWaveGAN: [paper](https://arxiv.org/abs/1910.11480)
- GAN-TTS discriminators: [paper](https://arxiv.org/abs/1909.11646)
- WaveRNN: [origin][https://github.com/fatchord/WaveRNN/]
- WaveGrad: [paper][https://arxiv.org/abs/2009.00713]
@ -203,7 +204,7 @@ If you like to use TTS to try a new idea and like to share your experiments with
- [x] Train TTS with r=1 successfully.
- [x] Enable process based distributed training. Similar to (https://github.com/fastai/imagenet-fast/).
- [x] Adapting Neural Vocoder. TTS works with WaveRNN and ParallelWaveGAN (https://github.com/erogol/WaveRNN and https://github.com/erogol/ParallelWaveGAN)
- [ ] Multi-speaker embedding.
- [x] Multi-speaker embedding.
- [x] Model optimization (model export, model pruning etc.)
<!--## References
@ -222,4 +223,4 @@ If you like to use TTS to try a new idea and like to share your experiments with
- https://github.com/r9y9/tacotron_pytorch (Initial Tacotron architecture)
- https://github.com/kan-bayashi/ParallelWaveGAN (vocoder library)
- https://github.com/jaywalnut310/glow-tts (Original Glow-TTS implementation)
- https://github.com/fatchord/WaveRNN/ (WaveRNN implementation)
- https://github.com/fatchord/WaveRNN/ (Original WaveRNN implementation)