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https://github.com/seungwonpark/awesome-tts-samples

Awesome list of TTS papers with audio samples
https://github.com/seungwonpark/awesome-tts-samples

List: awesome-tts-samples

awesome tts

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Awesome list of TTS papers with audio samples

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# awesome-tts-samples



List of TTS papers **with audio samples** provided by the authors. The last rows of each paper show the spectrogram inversion (vocoder) being used.



For more comprehensive list of important TTS papers, I recommmend reading [xcmyz/speech-synthesis-paper](https://github.com/xcmyz/speech-synthesis-paper) written by Zhengxi Liu.



## 2020



- [FastPitch](https://arxiv.org/abs/2006.06873) - FastPitch: Parallel Text-to-speech with Pitch Prediction

  - https://fastpitch.github.io/

  - WaveGlow

- [EATS](https://arxiv.org/abs/2006.03575) - End-to-End Adversarial Text-to-Speech

  - https://deepmind.com/research/publications/End-to-End-Adversarial-Text-to-Speech

  - End-to-end model

- [Glow-TTS](https://arxiv.org/abs/2005.11129) - Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

  - https://jaywalnut310.github.io/glow-tts-demo

  - WaveGlow

- [Flowtron](https://arxiv.org/abs/2005.05957) - Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis

  - https://nv-adlr.github.io/Flowtron

  - WaveGlow



## 2019

- [Tacotron2+DCA](https://arxiv.org/abs/1910.10288) - Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis

  - https://google.github.io/tacotron/publications/location_relative_attention

  - WaveRNN

- [GAN-TTS](https://openreview.net/forum?id=r1gfQgSFDr) - High Fidelity Speech Synthesis with Adversarial Networks

  - https://storage.googleapis.com/deepmind-media/research/abstract.wav

  - End-to-end model (Built on top of 200Hz linguistic & log pitch features)

- [Multi-lingual Tacotron2](https://arxiv.org/abs/1907.04448) - Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning

  - https://google.github.io/tacotron/publications/multilingual

  - WaveRNN

- [MelNet](https://arxiv.org/abs/1906.01083) - MelNet: A Generative Model for Audio in the Frequency Domain

  - https://audio-samples.github.io

  - https://sjvasquez.github.io/blog/melnet

  - [Gradient-based spectrogram inversion](https://gist.github.com/carlthome/a4a8bf0f587da738c459d0d5a55695cd)

- [FastSpeech](https://arxiv.org/abs/1905.09263) - FastSpeech: Fast, Robust and Controllable Text to Speech

  - https://speechresearch.github.io/fastspeech

  - WaveGlow

- [ParaNet](https://arxiv.org/abs/1905.08459) - Parallel Neural Text-to-Speech

  - https://parallel-neural-tts-demo.github.io

  - WaveVAE, ClariNet, WaveNet



## 2018

- [Transformer-TTS](https://arxiv.org/abs/1809.08895) - Neural Speech Synthesis with Transformer Network

  - https://neuraltts.github.io/transformertts

  - WaveNet

- [Multi-speaker Tacotron2](https://arxiv.org/abs/1806.04558) - Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

  - https://google.github.io/tacotron/publications/speaker_adaptation

  - WaveNet

- [Tacotron2+GST](https://arxiv.org/abs/1803.09017) - Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis

  - https://google.github.io/tacotron/publications/global_style_tokens

  - Griffin-Lim



## 2017

- [Tacotron2](https://arxiv.org/abs/1712.05884) - Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

  - https://google.github.io/tacotron/publications/tacotron2

  - WaveNet

- [Tacotron](https://arxiv.org/abs/1703.10135) - Tacotron: Towards End-to-End Speech Synthesis

  - https://google.github.io/tacotron/publications/tacotron

  - Griffin-Lim



# Contributing



TODO