#5 · Primary category: Speech & Audio

TTS

deep-learning glow-tts hifigan melgan multi-speaker-tts python pytorch speaker-encoder speaker-encodings speech speech-synthesis tacotron text-to-speech tts tts-model vocoder voice-cloning voice-conversion voice-synthesis

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Project last updated:08/16/24

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46.0K

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6.1K

Contributors

166

License

MPL-2.0

Why we included this project

Coqui TTS is a good place to start when you want speech synthesis without assembling a pipeline from scratch. It bundles several neural model families, from the older Tacotron and Glow-TTS to the newer XTTS and Bark, so you can pick the tradeoff that fits your use case instead of wiring components together. The same codebase works for research and production: run a quick inference script, stand up a server, or fine-tune a pretrained model on your own voice data. Pretrained voices cover more than a thousand languages, and XTTS streams with under 200ms latency, which covers a lot of real deployments. Teams that need voice cloning and model training in one maintained project will save the integration work of stitching several libraries together.

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