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gaoqiong
RapidASR
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5c82ecd7
"test/srt/test_disaggregation_basic.py" did not exist on "590f2da052058dfa902b291d1b2be5d27f8f231b"
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Apr 25, 2023
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@@ -6,23 +6,36 @@
</p>
-
🎉 推出知识星球
[
RapidAI私享群
](
https://t.zsxq.com/0duLBZczw
)
,这里的提问会优先得到回答和支持,也会享受到RapidAI组织后续持续优质的服务。欢迎大家的加入。
-
模型出自阿里达摩院
[
Paraformer语音识别-中文-通用-16k-离线-large-pytorch
](
https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary
)
。
-
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
-
Paraformer
模型出自阿里达摩院
[
Paraformer语音识别-中文-通用-16k-离线-large-pytorch
](
https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary
)
。
-
本仓库仅对模型做了转换,只采用ONNXRuntime推理引擎。
该项目核心代码已经并入
[
FunASR
](
https://github.com/alibaba-damo-academy/FunASR
)
。
-
项目仍会持续更新,欢迎关注。
#### 文档导航
-
rapid_paraformer:
-
[
rapid_paraformer-Python
](
./python/README.md
)
-
[
rapid_C++/C
](
./cpp_onnx/readme.md
)
-
[
rapid_wenet
](
https://github.com/RapidAI/RapidASR/tree/rapid_wenet
)
-
[
Python
](
https://github.com/RapidAI/RapidASR/tree/rapid_wenet/python
)
-
[
C++
](
https://github.com/RapidAI/RapidASR/tree/rapid_wenet/cpp
)
-
[
rapid_paddlespeech-Python
](
https://github.com/RapidAI/RapidASR/tree/rapid_paddlespeech
)
#### 📖文档导航
-
语音识别:
-
rapid_paraformer:
-
[
rapid_paraformer-Python
](
./python/README.md
)
-
[
rapid_C++/C
](
./cpp_onnx/readme.md
)
-
[
rapid_wenet
](
https://github.com/RapidAI/RapidASR/tree/rapid_wenet
)
-
[
Python
](
https://github.com/RapidAI/RapidASR/tree/rapid_wenet/python
)
-
[
C++
](
https://github.com/RapidAI/RapidASR/tree/rapid_wenet/cpp
)
-
[
rapid_paddlespeech-Python
](
https://github.com/RapidAI/RapidASR/tree/rapid_paddlespeech
)
-
标点符号
-
[
RapidPunc
](
https://github.com/RapidAI/RapidPunc
)
#### TODO
-
[ ] 整合vad + asr + pun三个模型,打造可部署使用的方案
#### 📆TODO
-
[x] RapidASR整理(语音识别)
-
[x] RapidPunc整理(对ASR结果添加标点)
-
[ ] RapidVad(对音频进行检测和分割)
#### 更新日志
#### 🎨整体框架
```
mermaid
flowchart LR
A([wav]) --RapidVad--> B([各个小段的音频]) --RapidASR--> C([识别的文本内容]) --RapidPunc--> D([最终识别内容])
```
#### 📣更新日志
<details>
<summary>
详情
</summary>
...
...
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