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license: apache-2.0
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---
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license: apache-2.0
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metrics:
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- cer
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---
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## Welcome
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If you find this model helpful, please *like* this model and star us on https://github.com/LianjiaTech/BELLE !
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# Belle-distilwhisper-large-v2-zh
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Fine tune [distilwhisper-large-v2](https://huggingface.co/distil-whisper/distil-large-v2) to improve Chinese speech recognition.
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Same to distilwhisper-large-v2, Belle-distilwhisper-large-v2-zh is 5.8 times faster with 51% fewer parameters compare to whisper-large-v2.
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**Note that** distilwhisper-large-v2 can not transcribe Chinese(only output English) on Chinese ASR benchmark(AISHELL1, AISHELL2, WENETSPEECH, HKUST).
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## Usage
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```python
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from transformers import pipeline
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transcriber = pipeline(
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"automatic-speech-recognition",
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model="BELLE-2/Belle-distilwhisper-large-v2-zh"
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)
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transcriber.model.config.forced_decoder_ids = (
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transcriber.tokenizer.get_decoder_prompt_ids(
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language="zh",
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task="transcribe"
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)
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)
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transcription = transcriber("my_audio.wav")
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```
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## Fine-tuning
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| Model | (Re)Sample Rate | Train Datasets | Fine-tuning (full or peft) |
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|:----------------:|:-------:|:----------------------------------------------------------:|:-----------:|
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| Belle-distilwhisper-large-v2-zh | 16KHz | [AISHELL-1](https://openslr.magicdatatech.com/resources/33/) [AISHELL-2](https://www.aishelltech.com/aishell_2) [WenetSpeech](https://wenet.org.cn/WenetSpeech/) [HKUST](https://catalog.ldc.upenn.edu/LDC2005S15) | [full fine-tuning](https://github.com/shuaijiang/Whisper-Finetune) |
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If you want to fine-thuning the model on your datasets, please reference to the [github repo](https://github.com/shuaijiang/Whisper-Finetune)
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## CER(%)
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| Model | Parameters(M) |Language Tag | aishell_1_test |aishell_2_test| wenetspeech_net | wenetspeech_meeting | HKUST_dev|
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|:----------------:|:-------:|:-------:|:-----------:|:-----------:|:--------:|:-----------:|:-------:|
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| whisper-large-v2 |1550 |Chinese | 8.818 | 6.183 | 12.343 | 26.413 | 31.917 |
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| distilwhisper-large-v2 |756| Chinese | - | - | - | - | - |
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| Belle-distilwhisper-large-v2-zh| 756 | Chinese | 5.958 | 6.477 | 12.786 | 17.039 | 20.771 |
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## Citation
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Please cite our paper and github when using our code, data or model.
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```
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@misc{BELLE,
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author = {BELLEGroup},
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title = {BELLE: Be Everyone's Large Language model Engine},
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year = {2023},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\url{https://github.com/LianjiaTech/BELLE}},
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}
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```
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