更新版本信息和脚本
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ailemon
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@ -30,16 +30,16 @@ RUN apt update && apt install -y python3 python3-pip
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RUN pip3 config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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RUN pip3 install wave scipy matplotlib tensorflow-cpu==2.5.3 numpy==1.19.2 requests flask waitress grpcio grpcio-tools protobuf
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RUN pip3 install wave scipy matplotlib tensorflow-cpu==2.5.3 numpy==1.19.2 requests flask waitress grpcio==1.34.0 grpcio-tools==1.34.0 protobuf
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RUN echo $'cd /asrt_server \n python3 asrserver_http.py' > /asrt_server/start.sh && chmod +x /asrt_server/start.sh
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RUN echo $'cd /asrt_server \n python3 asrserver_http.py & \n python3 asrserver_grpc.py' > /asrt_server/start.sh && chmod +x /asrt_server/start.sh
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# refer: https://docs.docker.com/engine/reference/builder/#expose
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EXPOSE 20001/tcp
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EXPOSE 20001/tcp 20002/tcp
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ENTRYPOINT ["/bin/bash", "/asrt_server/start.sh"]
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# https://docs.docker.com/engine/reference/commandline/build/#options
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# docker build --progress plain --rm --build-arg TAG=1.3.0 --tag asrt/api_server:1.3.0 .
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# https://docs.docker.com/engine/reference/commandline/run/#options
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# docker run --rm -it -p 20001:20001 --name asrt -d asrt/api_server:1.3.0
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# docker run --rm -it -p 20001:20001 -p 20002:20002 --name asrt -d asrt/api_server:1.3.0
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25
README.md
25
README.md
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@ -3,7 +3,7 @@
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[](https://opensource.org/licenses/GPL-3.0)
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[](https://github.com/nl8590687/ASRT_SpeechRecognition)
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[](https://www.tensorflow.org/)
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[](https://www.python.org/)
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[](https://www.python.org/)
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[](https://doi.org/10.5281/zenodo.5808434)
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ASRT是一个基于深度学习的中文语音识别系统，如果您觉得喜欢，请点一个 **"Star"** 吧~
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@ -37,7 +37,7 @@ ASRT是一个基于深度学习的中文语音识别系统，如果您觉得喜
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### 软件
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* Linux: Ubuntu 18.04 + / CentOS 7 +
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* Python: 3.6 +
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* Python: 3.7 +
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* TensorFlow: 1.15, 2.x + (不建议使用最新版和大版本的x.x.0版)
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## 快速开始
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@ -87,24 +87,34 @@ $ python3 evaluate_speech_model.py
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$ python3 predict_speech_file.py
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```
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ASRT API服务器启动请执行：
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启动ASRT HTTP协议的API服务器启动请执行：
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```shell
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$ python3 asrserver_http.py
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```
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本地测试调用API服务是否成功：
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本地测试调用HTTP协议API服务是否成功：
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```shell
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$ python3 client_http.py
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```
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启动ASRT GRPC协议的API服务器启动请执行：
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```shell
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$ python3 asrserver_grpc.py
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```
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本地测试调用GRPC协议API服务是否成功：
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```shell
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$ python3 client_grpc.py
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```
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请注意，开启API服务器之后，需要使用本ASRT项目对应的客户端软件来进行语音识别，详见Wiki文档[下载ASRT语音识别客户端SDK和Demo](https://wiki.ailemon.net/docs/asrt-doc/download)。
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如果要训练和使用非251bn版模型，请在代码中 `import speech_model_zoo` 的相应位置做修改。
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如果要训练和使用非251bn版模型，请在代码中 `from speech_model.xxx import xxx` 的相应位置做修改。
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使用docker直接部署ASRT：
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```shell
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$ docker pull ailemondocker/asrt_service:1.2.0
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$ docker run --rm -it -p 20001:20001 --name asrt-server -d ailemondocker/asrt_service:1.2.0
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$ docker pull ailemondocker/asrt_service:1.3.0
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$ docker run --rm -it -p 20001:20001 -p 20002:20002 --name asrt-server -d ailemondocker/asrt_service:1.3.0
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```
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仅CPU运行推理识别，不作训练
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@ -143,6 +153,7 @@ Github本仓库下[Releases](https://github.com/nl8590687/ASRT_SpeechRecognition
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* requests
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* flask
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* waitress
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* grpcio / grpcio-tools / protobuf
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不会安装环境的同学请直接运行以下命令(前提是有GPU且已经安装好 CUDA 11.2 和 cudnn 8.1)：
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25
README_EN.md
25
README_EN.md
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@ -3,7 +3,7 @@
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[](https://opensource.org/licenses/GPL-3.0)
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[](https://github.com/nl8590687/ASRT_SpeechRecognition)
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[](https://www.tensorflow.org/)
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[](https://www.python.org/)
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[](https://www.python.org/)
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[](https://doi.org/10.5281/zenodo.5808434)
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ASRT is A Deep-Learning-Based Chinese Speech Recognition System. If you like this project, please **star** it.
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@ -35,7 +35,7 @@ This project uses tensorFlow.keras based on deep convolutional neural network an
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### Software
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* Linux: Ubuntu 18.04 + / CentOS 7 +
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* Python: 3.6 +
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* Python: 3.7 +
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* TensorFlow: 1.15, 2.x + (The latest and x.x.0 are deprecated)
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## Quick Start
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@ -84,7 +84,7 @@ To predict one wave audio file for speech recognition：
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$ python3 predict_speech_file.py
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```
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ASRT API Server startup please execute:
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To startup ASRT API Server with HTTP protocol please execute:
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```shell
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$ python3 asrserver_http.py
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```
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@ -92,19 +92,29 @@ $ python3 asrserver_http.py
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Please note that after opening the API server, you need to use the client software corresponding to this ASRT project for voice recognition. For details, see the Wiki documentation to [download ASRT Client SDK & Demo](https://wiki.ailemon.net/docs/asrt-doc/download).
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To test whether it is successful or not that calls api service interface:
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To test whether it is successful or not that calls api service interface with HTTP protocol:
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```shell
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$ python3 client_http.py
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```
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If you want to train and use other model(not Model 251bn), make changes in the corresponding position of the `import speech_model_zoo` in the code files.
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To startup ASRT API Server with GRPC protocol please execute:
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```shell
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$ python3 asrserver_grpc.py
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```
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To test whether it is successful or not that calls api service interface with GRPC protocol:
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```shell
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$ python3 client_grpc.py
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```
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If you want to train and use other model(not Model 251bn), make changes in the corresponding position of the `from speech_model.xxx import xxx` in the code files.
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If there is any problem during the execution of the program or during use, it can be promptly put forward in the issue, and I will reply as soon as possible.
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Deploy ASRT by docker：
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```shell
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$ docker pull ailemondocker/asrt_service:1.2.0
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$ docker run --rm -it -p 20001:20001 --name asrt-server -d ailemondocker/asrt_service:1.2.0
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$ docker pull ailemondocker/asrt_service:1.3.0
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$ docker run --rm -it -p 20001:20001 -p 20002:20002 --name asrt-server -d ailemondocker/asrt_service:1.3.0
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```
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It will start a api server for recognition rather than training.
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@ -143,6 +153,7 @@ At present, the best model can basically reach 85% of Pinyin correct rate on the
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* requests
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* flask
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* waitress
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* grpcio / grpcio-tools / protobuf
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If you have trouble when install those packages, please run the following script to do it as long as you have a GPU and CUDA 11.2 and cudnn 8.1 have been installed：
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