| | |
|---|
| | | |
|---|
| | | <strong>FunASR</strong> hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model released on [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition), researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun！ |
|---|
| | | |
|---|
| | | |
|---|
| | | [**Docs**](https://alibaba-damo-academy.github.io/FunASR/index.html) |
|---|
| | | [**Installation**](#installation) |
|---|
| | | | [**Docs**](https://alibaba-damo-academy.github.io/FunASR/index.html) |
|---|
| | | | [**Tutorial**](https://github.com/alibaba-damo-academy/FunASR/wiki#funasr%E7%94%A8%E6%88%B7%E6%89%8B%E5%86%8C) |
|---|
| | | | [**Papers**](https://github.com/alibaba-damo-academy/FunASR#citations) |
|---|
| | | | [**Runtime**](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime) |
|---|
