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README.md
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@@ -26,7 +26,7 @@ Leveraging large-scale unlabeled speech and text data, we pre-train SpeechT5 to
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Extensive evaluations show the superiority of the proposed SpeechT5 framework on a wide variety of spoken language processing tasks, including automatic speech recognition, speech synthesis, speech translation, voice conversion, speech enhancement, and speaker identification.
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- **Developed by:** Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei.
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- **Shared by [optional]:** Matthijs Hollemans
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- **Model type:** text-to-speech
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [MIT](https://github.com/microsoft/SpeechT5/blob/main/LICENSE
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Extensive evaluations show the superiority of the proposed SpeechT5 framework on a wide variety of spoken language processing tasks, including automatic speech recognition, speech synthesis, speech translation, voice conversion, speech enhancement, and speaker identification.
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- **Developed by:** Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei.
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- **Shared by [optional]:** [Matthijs Hollemans](https://huggingface.co/Matthijs)
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- **Model type:** text-to-speech
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [MIT](https://github.com/microsoft/SpeechT5/blob/main/LICENSE
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