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# xm_transformer_600m-ru_en-multi_domain
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[W2V2-Transformer](https://aclanthology.org/2021.acl-long.68/) speech-to-text translation model from fairseq S2T ([paper](https://arxiv.org/abs/2010.05171)/[code](https://github.com/pytorch/fairseq/tree/main/examples/speech_to_text)):
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- Trained on mTEDx, CoVoST 2, OpenSTT, Common Voice v7 and CCMatrix
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- Speech synthesis with [facebook/fastspeech2-en-ljspeech](https://huggingface.co/facebook/fastspeech2-en-ljspeech)
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# xm_transformer_600m-ru_en-multi_domain
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[W2V2-Transformer](https://aclanthology.org/2021.acl-long.68/) speech-to-text translation model from fairseq S2T ([paper](https://arxiv.org/abs/2010.05171)/[code](https://github.com/pytorch/fairseq/tree/main/examples/speech_to_text)):
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- Russian-English
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- Trained on mTEDx, CoVoST 2, OpenSTT, Common Voice v7 and CCMatrix
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- Speech synthesis with [facebook/fastspeech2-en-ljspeech](https://huggingface.co/facebook/fastspeech2-en-ljspeech)
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