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gaoqiong
RapidASR
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8b3a8f8c
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8b3a8f8c
authored
Feb 26, 2023
by
mayong
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Merge branch 'main' of
https://github.com/RapidAI/RapidASR
parents
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@@ -9,8 +9,15 @@
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🎉该项目核心代码已经并入
[
FunASR
](
https://github.com/alibaba-damo-academy/FunASR
)
-
本仓库仅对模型做了转换,只采用ONNXRuntime推理引擎
#### 支持语言
-
Python
-
C++/C
#### 更新日志
-
2024-02-25
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添加C++版本推理,使用onnxruntime引擎,预/后处理代码来自: https://github.com/chenkui164/FastASR
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2023-02-14 v2.0.3 update:
-
修复librosa读取wav文件错误
-
修复fbank与torch下fbank提取结果不一致bug
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## 快速使用
Windows 下下载onnxruntime库,解开到某个位置,指定onnxruntime目录按以下方式:
```
cmake --config release -DONNXRUNTIME_DIR=D:\\thirdpart\\onnxruntime
```
`
使用 -DONNXRUNTIME_DIR 指向onnxruntime目录,该目录下有include以及lib
```
onnxruntime_xxx
├───include
└───lib
```
Windows下已经预置fftw3及openblas库。
## 支持平台
- Windows
- Linux/Unix
## 依赖
- fftw3
- openblas
- onnxruntime
## 导出onnx格式模型文件
安装 modelscope与FunASR,[安装文档](https://github.com/alibaba-damo-academy/FunASR/wiki)
```shell
pip config set global.index-url https://mirror.sjtu.edu.cn/pypi/web/simple #推荐使用上交pip源
pip install "modelscope[audio_asr]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
git clone https://github.com/alibaba/FunASR.git && cd FunASR
pip install --editable ./
```
导出onnx模型,[详见](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export),参考示例,从modelscope中模型导出:
```
python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true
``
`
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