- 📣 ⓍTTSv2 is here with 16 languages and better performance across the board.
- 📣 ⓍTTS fine-tuning code is out. Check the example recipes.
- 📣 ⓍTTS can now stream with <200ms latency.
- 📣 ⓍTTS, our production TTS model that can speak 13 languages, is released Blog Post, Demo, Docs
- 📣 🐶Bark is now available for inference with unconstrained voice cloning. Docs
- 📣 You can use ~1100 Fairseq models with 🐸TTS.
- 📣 🐸TTS now supports 🐢Tortoise with faster inference. Docs
🐸TTS is a library for advanced Text-to-Speech generation.
🚀 Pretrained models in +1100 languages.
🛠️ Tools for training new models and fine-tuning existing models in any language.
📚 Utilities for dataset analysis and curation.
Please use our dedicated channels for questions and discussion. Help is much more valuable if it's shared publicly so that more people can benefit from it.
Type | Platforms |
---|---|
🚨 Bug Reports | GitHub Issue Tracker |
🎁 Feature Requests & Ideas | GitHub Issue Tracker |
👩💻 Usage Questions | GitHub Discussions |
🗯 General Discussion | GitHub Discussions or Discord |
Type | Links |
---|---|
💼 Documentation | ReadTheDocs |
💾 Installation | TTS/README.md |
👩💻 Contributing | CONTRIBUTING.md |
📌 Road Map | Main Development Plans |
🚀 Released Models | TTS Releases and Experimental Models |
📰 Papers | TTS Papers |
Underlined "TTS*" and "Judy*" are internal 🐸TTS models that are not released open-source. They are here to show the potential. Models prefixed with a dot (.Jofish .Abe and .Janice) are real human voices.
- High-performance Deep Learning models for Text2Speech tasks.
- Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech).
- Speaker Encoder to compute speaker embeddings efficiently.
- Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN)
- Fast and efficient model training.
- Detailed training logs on the terminal and Tensorboard.
- Support for Multi-speaker TTS.
- Efficient, flexible, lightweight but feature complete
Trainer API
. - Released and ready-to-use models.
- Tools to curate Text2Speech datasets under
dataset_analysis
. - Utilities to use and test your models.
- Modular (but not too much) code base enabling easy implementation of new ideas.
- Tacotron: paper
- Tacotron2: paper
- Glow-TTS: paper
- Speedy-Speech: paper
- Align-TTS: paper
- FastPitch: paper
- FastSpeech: paper
- FastSpeech2: paper
- SC-GlowTTS: paper
- Capacitron: paper
- OverFlow: paper
- Neural HMM TTS: paper
- Delightful TTS: paper
- ⓍTTS: blog
- VITS: paper
- 🐸 YourTTS: paper
- 🐢 Tortoise: orig. repo
- 🐶 Bark: orig. repo
- Guided Attention: paper
- Forward Backward Decoding: paper
- Graves Attention: paper
- Double Decoder Consistency: blog
- Dynamic Convolutional Attention: paper
- Alignment Network: paper
- MelGAN: paper
- MultiBandMelGAN: