| Speech Synthesis (S^2) |
| === |
| [https://arxiv.org/abs/2109.06912](https://arxiv.org/abs/2109.06912) |
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| Speech synthesis with fairseq. |
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| ## Features |
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| - Autoregressive and non-autoregressive models |
| - Multi-speaker synthesis |
| - Audio preprocessing (denoising, VAD, etc.) for less curated data |
| - Automatic metrics for model development |
| - Similar data configuration as [S2T](../speech_to_text/README.md) |
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| ## Examples |
| - [Single-speaker synthesis on LJSpeech](docs/ljspeech_example.md) |
| - [Multi-speaker synthesis on VCTK](docs/vctk_example.md) |
| - [Multi-speaker synthesis on Common Voice](docs/common_voice_example.md) |
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| ## Citation |
| Please cite as: |
| ``` |
| @article{wang2021fairseqs2, |
| title={fairseq S\^{} 2: A Scalable and Integrable Speech Synthesis Toolkit}, |
| author={Wang, Changhan and Hsu, Wei-Ning and Adi, Yossi and Polyak, Adam and Lee, Ann and Chen, Peng-Jen and Gu, Jiatao and Pino, Juan}, |
| journal={arXiv preprint arXiv:2109.06912}, |
| year={2021} |
| } |
| |
| @inproceedings{ott2019fairseq, |
| title = {fairseq: A Fast, Extensible Toolkit for Sequence Modeling}, |
| author = {Myle Ott and Sergey Edunov and Alexei Baevski and Angela Fan and Sam Gross and Nathan Ng and David Grangier and Michael Auli}, |
| booktitle = {Proceedings of NAACL-HLT 2019: Demonstrations}, |
| year = {2019}, |
| } |
| ``` |
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