Automatic Speech Recognition
ESPnet
multilingual
audio
speech-translation
language-identification
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@@ -17,6 +17,7 @@ It is trained on 180k hours of public audio data for multilingual speech recogni
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  This model is initialized with [OWSM-CTC v3.1](https://huggingface.co/pyf98/owsm_ctc_v3.1_1B) and then fine-tuned on [v3.2 data](https://arxiv.org/abs/2406.09282) for 225k steps.
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  Currently, the code for OWSM-CTC has not been merged into ESPnet main branch. Instead, it is available as follows:
 
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  - Code in my repo: https://github.com/pyf98/espnet/tree/owsm-ctc
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  - Current model on HF: https://huggingface.co/pyf98/owsm_ctc_v3.2_ft_1B
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  This model is initialized with [OWSM-CTC v3.1](https://huggingface.co/pyf98/owsm_ctc_v3.1_1B) and then fine-tuned on [v3.2 data](https://arxiv.org/abs/2406.09282) for 225k steps.
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  Currently, the code for OWSM-CTC has not been merged into ESPnet main branch. Instead, it is available as follows:
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+ - PR in ESPnet: https://github.com/espnet/espnet/pull/5933
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  - Code in my repo: https://github.com/pyf98/espnet/tree/owsm-ctc
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  - Current model on HF: https://huggingface.co/pyf98/owsm_ctc_v3.2_ft_1B
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