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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) |
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| | | - 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. |
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| | | |
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| | | ## Installation(Training and Developing) |
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| | | ## Installation |
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| | | |
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| | | - Install Conda: |
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| | | ``` sh |
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| | |
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| | | ``` |
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| | | For more versions, please see [https://pytorch.org/get-started/locally](https://pytorch.org/get-started/locally) |
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| | | |
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| | | - Install ModelScope: |
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| | | |
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| | | If you are in the area of China, you could set the source to speed the downloading. |
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| | | If you are in the area of China, you could set the source to speedup the downloading. |
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| | | |
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| | | ``` sh |
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| | | pip config set global.index-url https://mirror.sjtu.edu.cn/pypi/web/simple |
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| | | ``` |
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| | | |
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| | | - Install ModelScope: |
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| | | Install or upgrade modelscope. |
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| | | ``` sh |
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| | | pip install "modelscope[audio]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html |
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| | | pip install "modelscope[audio]" --upgrade -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html |
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| | | ``` |
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| | | |
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| | | For more details about modelscope, please see [modelscope installation](https://modelscope.cn/docs/%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85) |
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| | |
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| | | pip install --editable ./ |
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| | | ``` |
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| | | |
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| | | ## Pretrained Model Zoo |
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| | | |
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| | | We have trained many academic and industrial models, [model hub](docs/modelscope_models.md) |
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| | | |
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| | | ## Contact |
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| | | |
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| | | If you have any questions about FunASR, please contact us by |
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| | | |
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| | | - email: [funasr@list.alibaba-inc.com](funasr@list.alibaba-inc.com) |
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| | | |
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| | | - Dingding group: |
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| | | <div align="left"><img src="docs/images/dingding.jpg" width="250"/>!<img src="docs/images/wechat.png" width="222"/></div> |
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| | | |Dingding group | Wechat group| |
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| | | |:---:|:---:| |
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| | | |<div align="left"><img src="docs/images/dingding.jpg" width="250"/> |<img src="docs/images/wechat.png" width="222"/></div>| |
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| | | |
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| | | ## Contributors |
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| | | |
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| | | | <div align="left"><img src="docs/images/DeepScience.png" width="250"/> | |
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| | | |:---:| |
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| | | |
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| | | ## Acknowledge |
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| | | |
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| | | 1. We borrowed a lot of code from [Kaldi](http://kaldi-asr.org/) for data preparation. |
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| | | 2. We borrowed a lot of code from [ESPnet](https://github.com/espnet/espnet). FunASR follows up the training and finetuning pipelines of ESPnet. |
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| | | 3. We referred [Wenet](https://github.com/wenet-e2e/wenet) for building dataloader for large scale data training. |
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| | | 4. We acknowledge [DeepScience](https://www.deepscience.cn) for contributing the grpc service. |
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| | | |
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| | | ## License |
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| | | This project is licensed under the [The MIT License](https://opensource.org/licenses/MIT). FunASR also contains various third-party components and some code modified from other repos under other open source licenses. |
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