|
--- |
|
license: apache-2.0 |
|
metrics: |
|
- cer |
|
--- |
|
## Welcome |
|
If you find this model helpful, please *like* this model and star us on https://github.com/LianjiaTech/BELLE and https://github.com/shuaijiang/Whisper-Finetune |
|
|
|
# Belle-whisper-large-v3-zh |
|
Fine tune whisper-large-v3 to enhance Chinese speech recognition capabilities, |
|
Belle-whisper-large-v3-zh demonstrates a **24-65%** relative improvement in performance on Chinese ASR benchmarks, including AISHELL1, AISHELL2, WENETSPEECH, and HKUST. |
|
|
|
|
|
## Usage |
|
```python |
|
|
|
from transformers import pipeline |
|
|
|
transcriber = pipeline( |
|
"automatic-speech-recognition", |
|
model="BELLE-2/Belle-whisper-large-v3-zh" |
|
) |
|
|
|
transcriber.model.config.forced_decoder_ids = ( |
|
transcriber.tokenizer.get_decoder_prompt_ids( |
|
language="zh", |
|
task="transcribe" |
|
) |
|
) |
|
|
|
transcription = transcriber("my_audio.wav") |
|
|
|
``` |
|
|
|
## Fine-tuning |
|
| Model | (Re)Sample Rate | Train Datasets | Fine-tuning (full or peft) | |
|
|:----------------:|:-------:|:----------------------------------------------------------:|:-----------:| |
|
| Belle-whisper-large-v3-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) | |
|
|
|
If you want to fine-thuning the model on your datasets, please reference to the [github repo](https://github.com/shuaijiang/Whisper-Finetune) |
|
|
|
|
|
## CER(%) ↓ |
|
| Model | Language Tag | aishell_1_test(↓) |aishell_2_test(↓)| wenetspeech_net(↓) | wenetspeech_meeting(↓) | HKUST_dev(↓)| |
|
|:----------------:|:-------:|:-----------:|:-----------:|:--------:|:-----------:|:-------:| |
|
| whisper-large-v3 | Chinese | 8.085 | 5.475 | 11.72 | 20.15 | 28.597 | |
|
| Belle-whisper-large-v2-zh | Chinese | 2.549 | 3.746 | 8.503 | 14.598 | 16.289 | |
|
| Belle-whisper-large-v3-zh | Chinese | 2.781 | 3.786 | 8.865 | **11.246** | 16.440 | |
|
|
|
It is worth mentioning that compared to Belle-whisper-large-v2-zh, Belle-whisper-large-v3-zh has a significant improvement in complex acoustic scenes(such as wenetspeech_meeting). |
|
|
|
## Citation |
|
|
|
Please cite our paper and github when using our code, data or model. |
|
|
|
``` |
|
@misc{BELLE, |
|
author = {BELLEGroup}, |
|
title = {BELLE: Be Everyone's Large Language model Engine}, |
|
year = {2023}, |
|
publisher = {GitHub}, |
|
journal = {GitHub repository}, |
|
howpublished = {\url{https://github.com/LianjiaTech/BELLE}}, |
|
} |
|
``` |
