Automatic Speech Recognition
ESPnet
multilingual
audio
speech-translation
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  Our demo is available [here](https://huggingface.co/spaces/pyf98/OWSM_v3_demo).
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  **OWSM v3.1 is an improved version of OWSM v3. It significantly outperforms OWSM v3 in almost all evaluation benchmarks.**
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- We do not include any new training data. Instead, we utilize a state-of-the-art speech encoder, [E-Branchformer](https://arxiv.org/abs/2210.00077). OWSM v3.1 has 1.02B parameters in total and is trained on 180k hours of public speech data.
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  Specifically, it supports the following speech-to-text tasks:
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  - Speech recognition
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  - Any-to-any-language speech translation
 
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  Our demo is available [here](https://huggingface.co/spaces/pyf98/OWSM_v3_demo).
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  **OWSM v3.1 is an improved version of OWSM v3. It significantly outperforms OWSM v3 in almost all evaluation benchmarks.**
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+ We do not include any new training data. Instead, we utilize a state-of-the-art speech encoder, [E-Branchformer](https://arxiv.org/abs/2210.00077).
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+ OWSM v3.1 has 1.02B parameters in total and is trained on 180k hours of public speech data.
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  Specifically, it supports the following speech-to-text tasks:
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  - Speech recognition
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  - Any-to-any-language speech translation