Coqui TTS is a library for advanced Text-to-Speech generation. It's built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed and quality. Coqui TTS comes with pretrained models, tools for measuring dataset quality and already used in 20+ languages for products and research projects.
 
Features: 
<ul style="margin-bottom: 16px; padding-left: 2em;"><li style="">High-performance Deep Learning models for Text2Speech tasks.<ul style="padding-left: 2em;"><li>Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech).</li><li style="margin-top: 0.25em;">Speaker Encoder to compute speaker embeddings efficiently.</li><li style="margin-top: 0.25em;">Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN)</li></ul></li><li style="margin-top: 0.25em;">Fast and efficient model training.</li><li style="margin-top: 0.25em;">Detailed training logs on the terminal and Tensorboard.</li><li style="margin-top: 0.25em;">Support for Multi-speaker TTS.</li><li style="margin-top: 0.25em;">Efficient, flexible, lightweight but feature complete&nbsp;Trainer API.</li><li style="margin-top: 0.25em;">Ability to convert PyTorch models to Tensorflow 2.0 and TFLite for inference.</li><li style="margin-top: 0.25em;">Released and read-to-use models.</li><li style="margin-top: 0.25em;">Tools to curate Text2Speech datasets underdataset_analysis.</li><li style="margin-top: 0.25em;">Utilities to use and test your models.</li><li style="margin-top: 0.25em;">Modular (but not too much) code base enabling easy implementation of new ideas.</li></ul>

Coqui TTS is a library for advanced Text-to-Speech generation. It's built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed and quality.  Coqui TTS comes with pretrained models, tools for measuring dataset quality and already used in 20+ languages for products and research projects.



Coqui - Advanced Text-to-Speech Library

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