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[](https://tts.readthedocs.io/en/latest/)
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🚀 [**Sign up to free 🐸Coqui.ai API and start cloning your voice**](https://coqui.ai/)
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📰 [**Subscribe to 🐸Coqui.ai Newsletter**](https://coqui.ai/?subscription=true)
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📢 [English Voice Samples](https://erogol.github.io/ddc-samples/) and [SoundCloud playlist](https://soundcloud.com/user-565970875/pocket-article-wavernn-and-tacotron2)
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- Modular (but not too much) code base enabling easy implementation of new ideas.
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## Implemented Models
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### Text-to-Spectrogram
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### Spectrogram models
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- Tacotron: [paper](https://arxiv.org/abs/1703.10135)
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- Tacotron2: [paper](https://arxiv.org/abs/1712.05884)
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- Glow-TTS: [paper](https://arxiv.org/abs/2005.11129)
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- FastPitch: [paper](https://arxiv.org/pdf/2006.06873.pdf)
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- FastSpeech: [paper](https://arxiv.org/abs/1905.09263)
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- SC-GlowTTS: [paper](https://arxiv.org/abs/2104.05557)
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- Capacitron: [paper](https://arxiv.org/abs/1906.03402)
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### End-to-End Models
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- VITS: [paper](https://arxiv.org/pdf/2106.06103)
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|- TTS
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|- bin/ (folder for all the executables.)
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|- train*.py (train your target model.)
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|- distribute.py (train your TTS model using Multiple GPUs.)
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|- compute_statistics.py (compute dataset statistics for normalization.)
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|- ...
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|- tts/ (text to speech models)
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|- layers/ (model layer definitions)
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