pyf98
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owsm_ctc_v3.1_1B

Automatic Speech Recognition

speech-translation

language-identification

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pyf98 commited on 8 days ago

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@@ -17,6 +17,7 @@ It is trained on 180k hours of public audio data for multilingual speech recogni
 Due to time constraint, the model used in the paper was trained for 40 "epochs". The new model trained for 45 "epochs" (approximately three entire passes on the full data) is also added in this repo in order to match the setup of encoder-decoder OWSM. It can have better performance than the old one in many test sets.
 Currently, the code for OWSM-CTC has not been merged into ESPnet main branch. Instead, it is available as follows:
 - Code in my repo: https://github.com/pyf98/espnet/tree/owsm-ctc
 - Current model on HF: https://huggingface.co/pyf98/owsm_ctc_v3.1_1B

 Due to time constraint, the model used in the paper was trained for 40 "epochs". The new model trained for 45 "epochs" (approximately three entire passes on the full data) is also added in this repo in order to match the setup of encoder-decoder OWSM. It can have better performance than the old one in many test sets.
 Currently, the code for OWSM-CTC has not been merged into ESPnet main branch. Instead, it is available as follows:
+- PR in ESPnet: https://github.com/espnet/espnet/pull/5933
 - Code in my repo: https://github.com/pyf98/espnet/tree/owsm-ctc
 - Current model on HF: https://huggingface.co/pyf98/owsm_ctc_v3.1_1B