readme

游雁

2023-01-29 f02ebbe8f1497c9fdbf4be5554b967f196165b79

 README.md

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- FunASR supplies a easy-to-use pipeline to finetune pretrained models from [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition)
- Compared to [Espnet](https://github.com/espnet/espnet) framework, the training speed of large-scale datasets in FunASR is much faster owning to the optimized dataloader.

## Installation(Training and Developing)
## Installation

- Install Conda:
``` sh
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```
For more versions, please see [https://pytorch.org/get-started/locally](https://pytorch.org/get-started/locally)

- Install ModelScope:

If you are in the area of China, you could set the source to speed the downloading.

@@ -47,7 +48,6 @@
pip config set global.index-url https://mirror.sjtu.edu.cn/pypi/web/simple
```

- Install ModelScope:
``` sh
pip install "modelscope[audio]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
```
@@ -61,18 +61,14 @@
pip install --editable ./
```

## Pretrained Model Zoo

We have trained many academic and industrial models, [model hub](docs/modelscope_models.md)

## Contact

If you have any questions about FunASR, please contact us by

- email: [funasr@list.alibaba-inc.com](funasr@list.alibaba-inc.com)

- Dingding group:
<div align="left"><img src="docs/images/dingding.jpg" width="250"/>!<img src="docs/images/wechat.png" width="222"/></div>
- Dingding group and Wechat group:
<div align="left"><img src="docs/images/dingding.jpg" width="250"/> <img src="docs/images/wechat.png" width="222"/></div>


## Acknowledge