| ---
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| license: apache-2.0
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| ---
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|
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| # FireRedASR-AED
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| 小红书ASR AED-L版本在AX650N上的部署，原项目地址为：[https://github.com/FireRedTeam/FireRedASR](https://github.com/FireRedTeam/FireRedASR)
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| 转换后的模型放置在axmodel目录，目前支持中文、英文，最长输入10秒的音频，超过10秒的音频会用VAD切割后推理。
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| ## 模型转换
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| [参考Github](https://github.com/ml-inory/FireRedASR.axera/tree/main)
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| ## 支持平台
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| - [x] AX650N
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| ## 安装依赖
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| ### Audio backend
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| ```
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| sudo apt install libsnffile1
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| ```
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| ### Python
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| 测试环境为Python 3.12，建议使用[Miniconda](https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh
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| )，安装方法[参考](https://www.anaconda.com/docs/getting-started/miniconda/install#aws-graviton2%2Farm64)
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| ```
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| conda create -n fireredasr python=3.12
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| conda activate fireredasr
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| pip install -r requirements.txt
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| ```
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|
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| ### 安装pyaxengine
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| ```
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| wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc1/axengine-0.1.3-py3-none-any.whl
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| pip install axengine-0.1.3-py3-none-any.whl
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| ```
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| ## 使用
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| ```
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| conda activate fireredasr
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| python test_ax_model.py
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| ```
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| ```hypo_axmodel.txt```包含识别结果
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| ## 性能表现
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| RTF ~= 0.3
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| CER(on custom dataset): 3.45%
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