# Speech Synthesis ## Links * ​[Deepvoice3 PyTorch](https://github.com/r9y9/deepvoice3_pytorch) - PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models. * ​[WaveNet vocoder](https://github.com/r9y9/wavenet_vocoder) - Can generate high quality raw speech samples conditioned on linguistic or acoustic features. * ​[Papercup](https://www.papercup.com/) - Translate your content into other languages with a voice that sounds like yours. * ​[WaveNet implementation in Keras](https://github.com/basveeling/wavenet)​ * ​[nv-wavenet](https://github.com/NVIDIA/nv-wavenet) - CUDA reference implementation of autoregressive WaveNet inference. * ​[PyTorch implementation of Tacotron speech synthesis model](https://github.com/r9y9/tacotron_pytorch)​ * ​[Yet another WaveNet implementation in PyTorch](https://github.com/golbin/WaveNet)​ * ​[Flowtron](https://github.com/NVIDIA/flowtron) - Auto-regressive flow-based generative network for text to speech synthesis. * ​[A highly efficient, real-time text-to-speech system deployed on CPUs (2020)](https://ai.facebook.com/blog/a-highly-efficient-real-time-text-to-speech-system-deployed-on-cpus/) ([HN](https://news.ycombinator.com/item?id=23193967)) * ​[Sonatic](https://www.sonantic.io/) - Emotionally Expressive Text to Speech. * ​[GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis](https://github.com/descriptinc/melgan-neurips)​ * ​[Ask HN: My wife might lose the ability to speak in 3 weeks – how to prepare? (2020)](https://news.ycombinator.com/item?id=23490115)​ * ​[DiffWave](https://github.com/lmnt-com/diffwave) - Fast, high-quality neural vocoder and waveform synthesizer. * ​[Voice Conversion with Non-Parallel Data](https://github.com/andabi/deep-voice-conversion)​ * ​[Speech Synthesis Papers](https://github.com/xcmyz/speech-synthesis-paper)​ * ​[VoiceFilter](https://github.com/mindslab-ai/voicefilter) - Unofficial PyTorch implementation of Google AI's VoiceFilter system. ([Web](http://swpark.me/voicefilter/))