• 📣 Ⓧ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.

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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.

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 underdataset_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

• GE2E: paper
• Angular Loss: paper

• MelGAN: paper
• MultiBandMelGAN: