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## xm_transformer_unity_hk-en
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Speech-to-speech translation model from fairseq
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- Hokkien-English
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- Trained
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- Speech synthesis with [facebook/unit_hifigan_mhubert_vp_en_es_fr_it3_400k_layer11_km1000_lj_dur](https://huggingface.co/facebook/unit_hifigan_mhubert_vp_en_es_fr_it3_400k_layer11_km1000_lj_dur)
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## Usage
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```python
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## xm_transformer_unity_hk-en
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Speech-to-speech translation model with two-pass decoder (UnitY) from fairseq:
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- Hokkien-English
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- Trained with supervised data in TED, drama, [TAT](https://sites.google.com/speech.ntut.edu.tw/fsw/home/tat-corpus) domain, and weakly supervised data in drama domain. See [here](https://research.facebook.com/publications/hokkien-direct-speech-to-speech-translation)
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for training details.
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- Speech synthesis with [facebook/unit_hifigan_mhubert_vp_en_es_fr_it3_400k_layer11_km1000_lj_dur](https://huggingface.co/facebook/unit_hifigan_mhubert_vp_en_es_fr_it3_400k_layer11_km1000_lj_dur)
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- [Examples](https://github.com/facebookresearch/fairseq/tree/ust/examples/hokkien)
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## Usage
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```python
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