BELLE-2
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Belle-whisper-large-v3-zh-punct

Automatic Speech Recognition

Inference Endpoints

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shuaijiang commited on Jun 11

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@@ -48,9 +48,10 @@ If you want to fine-thuning the model on your datasets, please reference to the
 |:----------------:|:-------:|:-----------:|:-----------:|:--------:|:-----------:|:-------:|
 | whisper-large-v3 | Chinese |  8.085 | 5.475  |  11.72   |  20.15 | 28.597 |
 | Belle-whisper-large-v3-zh | Chinese |   2.781    | 3.786  |   8.865    | 11.246 | 16.440 |
-| Belle-whisper-large-v3-zh-punct | Chinese |   2.945    | 3.0  |   8.0    | 11.0 | 16.0 |
-It is worth mentioning that the punctation marks of Belle-whisper-large-v3-zh-punct are removed to compute the CER.
 ## Citation

 |:----------------:|:-------:|:-----------:|:-----------:|:--------:|:-----------:|:-------:|
 | whisper-large-v3 | Chinese |  8.085 | 5.475  |  11.72   |  20.15 | 28.597 |
 | Belle-whisper-large-v3-zh | Chinese |   2.781    | 3.786  |   8.865    | 11.246 | 16.440 |
+| Belle-whisper-large-v3-zh-punct | Chinese |   2.945    | 3.808  |   8.998    | **10.973** | 17.196 |
+It is worth mentioning that compared to Belle-whisper-large-v3-zh, Belle-whisper-large-v3-zh-punct even has a slight improvement in complex acoustic scenes(such as wenetspeech_meeting).
+And the punctation marks of Belle-whisper-large-v3-zh-punct are removed to compute the CER.
 ## Citation