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@@ -1,8 +1,11 @@
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- --- license: cc-by-nc-4.0 tags:
 
 
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  - mms
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  - vits
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- pipeline_tag: text-to-speech ---
 
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  # Massively Multilingual Speech (MMS) : Text-to-Speech Models
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@@ -31,7 +34,6 @@ with torch.no_grad():
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  output = model(**inputs)
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  from IPython.display import Audio
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-
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  Audio(output.audio[0], rate=16000)
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  ```
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  This model was developed by Vineel Pratap et al. and is licensed as **CC-BY-NC 4.0**
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  @article{pratap2023mms,
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- title={Scaling Speech Technology to 1,000+ Languages}, author={Vineel Pratap and Andros Tjandra and Bowen Shi
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- and Paden Tomasello and Arun Babu and Sayani Kundu and Ali Elkahky and Zhaoheng Ni and Apoorv Vyas and Maryam
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- Fazel-Zarandi and Alexei Baevski and Yossi Adi and Xiaohui Zhang and Wei-Ning Hsu and Alexis Conneau and
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- Michael Auli}, journal={arXiv}, year={2023}
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  }
 
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+ ---
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+ license: cc-by-nc-4.0
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+ tags:
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  - mms
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  - vits
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+ pipeline_tag: text-to-speech
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+ ---
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  # Massively Multilingual Speech (MMS) : Text-to-Speech Models
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  output = model(**inputs)
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  from IPython.display import Audio
 
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  Audio(output.audio[0], rate=16000)
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  ```
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  This model was developed by Vineel Pratap et al. and is licensed as **CC-BY-NC 4.0**
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  @article{pratap2023mms,
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+ title={Scaling Speech Technology to 1,000+ Languages},
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+ author={Vineel Pratap and Andros Tjandra and Bowen Shi and Paden Tomasello and Arun Babu and Sayani Kundu and Ali Elkahky and Zhaoheng Ni and Apoorv Vyas and Maryam Fazel-Zarandi and Alexei Baevski and Yossi Adi and Xiaohui Zhang and Wei-Ning Hsu and Alexis Conneau and Michael Auli},
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+ journal={arXiv},
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+ year={2023}
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  }