About This Resource

A deep learning toolkit for text-to-speech research and applications. It provides model implementations, training utilities, and inference tools for generating speech.

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GitHub - coqui-ai/TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

coqui-ai/TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

  • 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.