Initial commit: FunASR Speech Recognition Toolkit

Add complete FunASR codebase including models, runtime, and documentation.
2026-07-09 22:38:58 +08:00
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+(简体中文|[English](./installation.md))
+
+<p align="left">
+    <a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-brightgreen.svg"></a>
+    <a href=""><img src="https://img.shields.io/badge/Python->=3.8,<=3.13-aff.svg"></a>
+    <a href=""><img src="https://img.shields.io/badge/Pytorch-%3E%3D1.11-blue"></a>
+</p>
+
+## 安装
+
+### 安装Conda（可选）：
+
+#### Linux
+```sh
+wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
+sh Miniconda3-latest-Linux-x86_64.sh
+source ~/.bashrc
+conda create -n funasr python=3.8
+conda activate funasr
+```
+#### Mac
+```sh
+wget https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
+# For M1 chip
+# wget https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh
+sh Miniconda3-latest-MacOSX*
+source ~/.zashrc
+conda create -n funasr python=3.8
+conda activate funasr
+```
+#### Windows
+Ref to [docs](https://docs.conda.io/en/latest/miniconda.html#windows-installers)
+
+### 安装Pytorch（版本 >= 1.11.0）：
+
+```sh
+pip3 install torch torchaudio
+```
+如果您的环境中存在CUDAs，则应安装与CUDA匹配版本的pytorch，匹配列表可在文档中找到（[文档](https://pytorch.org/get-started/previous-versions/)）。
+### 安装funasr
+
+#### 从pip安装
+
+```shell
+pip3 install -U funasr
+# 对于中国大陆用户，可以使用以下命令进行安装：
+# pip3 install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple
+```
+
+#### 或者从源代码安装
+
+``` sh
+git clone https://github.com/alibaba/FunASR.git && cd FunASR
+pip3 install -e ./
+# 对于中国大陆用户，可以使用以下命令进行安装：
+# pip3 install -e ./ -i https://mirror.sjtu.edu.cn/pypi/web/simple
+```
+
+### 安装modelscope（可选）
+
+如果您想要使用ModelScope中的预训练模型，则应安装modelscope:
+
+```shell
+pip3 install -U modelscope
+# 对于中国大陆用户，可以使用以下命令进行安装：
+# pip3 install -U modelscope -i https://mirror.sjtu.edu.cn/pypi/web/simple
+```
+
+### 常见问题解答
+- 在MAC M1芯片上安装时，可能会出现以下错误：
+- - _cffi_backend.cpython-38-darwin.so' (mach-o file, but is an incompatible architecture (have (x86_64), need (arm64e)))
+    ```shell
+    pip uninstall cffi pycparser
+    ARCHFLAGS="-arch arm64" pip install cffi pycparser --compile --no-cache-dir
+    ```