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| | | ## Contributors |
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| | | | <div align="left"><img src="docs/images/damo.png" width="180"/> | <div align="left"><img src="docs/images/nwpu.png" width="260"/> | <img src="docs/images/China_Telecom.png" width="200"/> </div> | <img src="docs/images/DeepScience.png" width="200"/> </div> | |
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| | | |:---------------------------------------------------------------:|:---------------------------------------------------------------:|:--------------------------------------------------------------:|:-----------------------------------------------------------:| |
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| | | | <div align="left"><img src="docs/images/damo.png" width="180"/> | <div align="left"><img src="docs/images/nwpu.png" width="260"/> | <img src="docs/images/China_Telecom.png" width="200"/> </div> | <img src="docs/images/RapidAI.png" width="200"/> </div> | <img src="docs/images/DeepScience.png" width="200"/> </div> | |
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| | | |:---------------------------------------------------------------:|:---------------------------------------------------------------:|:--------------------------------------------------------------:|:-------------------------------------------------------:|:-----------------------------------------------------------:| |
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| | | ## Acknowledge |
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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 [ChinaTelecom](https://github.com/zhuzizyf/damo-fsmn-vad-infer-httpserver) for contributing the VAD runtime. |
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| | | 5. We acknowledge [DeepScience](https://www.deepscience.cn) for contributing the grpc service. |
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| | | 5. We acknowledge [RapidAI](https://github.com/RapidAI) for contributing the Paraformer and CT_Transformer-punc runtime. |
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| | | 6. We acknowledge [DeepScience](https://www.deepscience.cn) for contributing the grpc service. |
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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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