update docs

runtime/docs/SDK_advanced_guide_offline.md

@@ -83,13 +83,13 @@ nohup bash run_server.sh \
 Introduction to run_server.sh parameters: 
 ```text
 --download-model-dir: Model download address, download models from Modelscope by setting the model ID.
---model-dir: Modelscope model ID.
+--model-dir: modelscope model ID or local model path.
 --quantize: True for quantized ASR model, False for non-quantized ASR model. Default is True.
---vad-dir: Modelscope model ID.
+--vad-dir: modelscope model ID or local model path.
 --vad-quant: True for quantized VAD model, False for non-quantized VAD model. Default is True.
---punc-dir: Modelscope model ID.
+--punc-dir: modelscope model ID or local model path.
 --punc-quant: True for quantized PUNC model, False for non-quantized PUNC model. Default is True.
---itn-dir modelscope model ID
+--itn-dir modelscope model ID or local model path.
 --port: Port number that the server listens on. Default is 10095.
 --decoder-thread-num: Number of inference threads that the server starts. Default is 8.
 --io-thread-num: Number of IO threads that the server starts. Default is 1.

runtime/docs/SDK_advanced_guide_offline_en.md

@@ -65,13 +65,13 @@ nohup bash run_server.sh \
 Introduction to run_server.sh parameters: 
 ```text
 --download-model-dir: Model download address, download models from Modelscope by setting the model ID.
---model-dir: Modelscope model ID.
+--model-dir: modelscope model ID or local model path.
 --quantize: True for quantized ASR model, False for non-quantized ASR model. Default is True.
---vad-dir: Modelscope model ID.
+--vad-dir: modelscope model ID or local model path.
 --vad-quant: True for quantized VAD model, False for non-quantized VAD model. Default is True.
---punc-dir: Modelscope model ID.
+--punc-dir: modelscope model ID or local model path.
 --punc-quant: True for quantized PUNC model, False for non-quantized PUNC model. Default is True.
---itn-dir modelscope model ID
+--itn-dir modelscope model ID or local model path.
 --port: Port number that the server listens on. Default is 10095.
 --decoder-thread-num: Number of inference threads that the server starts. Default is 8.
 --io-thread-num: Number of IO threads that the server starts. Default is 1.

runtime/docs/SDK_advanced_guide_offline_en_zh.md

@@ -150,13 +150,13 @@ nohup bash run_server.sh \
 **run_server.sh命令参数介绍**
 ```text
 --download-model-dir 模型下载地址，通过设置model ID从Modelscope下载模型
---model-dir  modelscope model ID
+--model-dir  modelscope model ID 或者 本地模型路径
 --quantize  True为量化ASR模型，False为非量化ASR模型，默认是True
---vad-dir  modelscope model ID
+--vad-dir  modelscope model ID 或者 本地模型路径
 --vad-quant   True为量化VAD模型，False为非量化VAD模型，默认是True
---punc-dir  modelscope model ID
+--punc-dir  modelscope model ID 或者 本地模型路径
 --punc-quant   True为量化PUNC模型，False为非量化PUNC模型，默认是True
---itn-dir modelscope model ID
+--itn-dir modelscope model ID 或者 本地模型路径
 --port  服务端监听的端口号，默认为 10095
 --decoder-thread-num  服务端启动的推理线程数，默认为 8
 --io-thread-num  服务端启动的IO线程数，默认为 1

runtime/docs/SDK_advanced_guide_offline_zh.md

@@ -164,14 +164,14 @@ nohup bash run_server.sh \
 **run_server.sh命令参数介绍**
 ```text
 --download-model-dir 模型下载地址，通过设置model ID从Modelscope下载模型
---model-dir  modelscope model ID
+--model-dir  modelscope model ID 或者 本地模型路径
 --quantize  True为量化ASR模型，False为非量化ASR模型，默认是True
---vad-dir  modelscope model ID
+--vad-dir  modelscope model ID 或者 本地模型路径
 --vad-quant   True为量化VAD模型，False为非量化VAD模型，默认是True
---punc-dir  modelscope model ID
+--punc-dir  modelscope model ID 或者 本地模型路径
 --punc-quant   True为量化PUNC模型，False为非量化PUNC模型，默认是True
---lm-dir modelscope model ID
---itn-dir modelscope model ID
+--lm-dir modelscope model ID 或者 本地模型路径
+--itn-dir modelscope model ID 或者 本地模型路径
 --port  服务端监听的端口号，默认为 10095
 --decoder-thread-num  服务端启动的推理线程数，默认为 8
 --io-thread-num  服务端启动的IO线程数，默认为 1

runtime/docs/SDK_advanced_guide_online.md

@@ -100,14 +100,14 @@ nohup bash run_server_2pass.sh \
 ### More details about the script run_server_2pass.sh:
 ```text
 --download-model-dir: Model download address, download models from Modelscope by setting the model ID.
---model-dir: Modelscope model ID.
+--model-dir: modelscope model ID or local model path.
 --online-model-dir modelscope model ID
 --quantize: True for quantized ASR model, False for non-quantized ASR model. Default is True.
---vad-dir: Modelscope model ID.
+--vad-dir: modelscope model ID or local model path.
 --vad-quant: True for quantized VAD model, False for non-quantized VAD model. Default is True.
---punc-dir: Modelscope model ID.
+--punc-dir: modelscope model ID or local model path.
 --punc-quant: True for quantized PUNC model, False for non-quantized PUNC model. Default is True.
---itn-dir modelscope model ID
+--itn-dir modelscope model ID or local model path.
 --port: Port number that the server listens on. Default is 10095.
 --decoder-thread-num: Number of inference threads that the server starts. Default is 8.
 --io-thread-num: Number of IO threads that the server starts. Default is 1.

runtime/docs/SDK_advanced_guide_online_zh.md

@@ -108,14 +108,14 @@ nohup bash run_server_2pass.sh \
 **run_server_2pass.sh命令参数介绍**
 ```text
 --download-model-dir 模型下载地址，通过设置model ID从Modelscope下载模型
---model-dir  modelscope model ID
---online-model-dir  modelscope model ID
+--model-dir  modelscope model ID 或者 本地模型路径
+--online-model-dir  modelscope model ID 或者 本地模型路径
 --quantize  True为量化ASR模型，False为非量化ASR模型，默认是True
---vad-dir  modelscope model ID
+--vad-dir  modelscope model ID 或者 本地模型路径
 --vad-quant   True为量化VAD模型，False为非量化VAD模型，默认是True
---punc-dir  modelscope model ID
+--punc-dir  modelscope model ID 或者 本地模型路径
 --punc-quant   True为量化PUNC模型，False为非量化PUNC模型，默认是True
---itn-dir modelscope model ID
+--itn-dir modelscope model ID 或者 本地模型路径
 --port  服务端监听的端口号，默认为 10095
 --decoder-thread-num  服务端启动的推理线程数，默认为 8
 --io-thread-num  服务端启动的IO线程数，默认为 1

runtime/onnxruntime/readme.md

@@ -36,12 +36,12 @@ make -j 4
 
 ## Building for Windows
 ### Download onnxruntime
-https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-master-latest-win64-gpl-shared.zip
+https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/onnxruntime-win-x64-1.16.1.zip
 
 Download and unzip to d:\ffmpeg-master-latest-win64-gpl-shared
 
 ### Download ffmpeg
-https://github.com/microsoft/onnxruntime/releases/download/v1.16.1/onnxruntime-win-x64-1.16.1.zip
+https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/ffmpeg-master-latest-win64-gpl-shared.zip
 
 Download and unzip to d:\onnxruntime-win-x64-1.16.1
 

runtime/websocket/readme.md

@@ -6,14 +6,14 @@
 ## Building for Linux/Unix
 ### Download onnxruntime
 ```shell
-wget https://github.com/microsoft/onnxruntime/releases/download/v1.14.0/onnxruntime-linux-x64-1.14.0.tgz
+wget https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/onnxruntime-linux-x64-1.14.0.tgz
 tar -zxvf onnxruntime-linux-x64-1.14.0.tgz
 ```
 
 ### Download ffmpeg
 ```shell
-wget https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/ffmpeg-N-111383-g20b8688092-linux64-gpl-shared.tar.xz
-tar -xvf ffmpeg-N-111383-g20b8688092-linux64-gpl-shared.tar.xz
+wget https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/ffmpeg-master-latest-linux64-gpl-shared.tar.xz
+tar -xvf ffmpeg-master-latest-linux64-gpl-shared.tar.xz
 ```
 
 ### Install deps
@@ -31,6 +31,44 @@ apt-get install libssl-dev #ubuntu
 ```shell
 git clone https://github.com/alibaba-damo-academy/FunASR.git && cd FunASR/runtime/websocket
 mkdir build && cd build
-cmake  -DCMAKE_BUILD_TYPE=release .. -DONNXRUNTIME_DIR=/path/to/onnxruntime-linux-x64-1.14.0 -DFFMPEG_DIR=/path/to/ffmpeg-N-111383-g20b8688092-linux64-gpl-shared
+cmake  -DCMAKE_BUILD_TYPE=release .. -DONNXRUNTIME_DIR=/path/to/onnxruntime-linux-x64-1.14.0 -DFFMPEG_DIR=/path/to/ffmpeg-master-latest-linux64-gpl-shared
 make -j 4
 ```
+
+
+## Building for Windows
+### Download onnxruntime
+https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/onnxruntime-win-x64-1.16.1.zip
+
+Download to d:\ffmpeg-master-latest-win64-gpl-shared
+
+### Download ffmpeg
+https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/ffmpeg-master-latest-win64-gpl-shared.zip
+
+Download to d:\onnxruntime-win-x64-1.16.1
+
+### Download openssl
+https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/openssl-1.1.1w.tar.gz 
+
+Download to d:/src/openssl-1.1.1w
+
+Open x64 Native Tools Command Prompt and execute the following compilation steps
+```
+d:
+cd d:/src/openssl-1.1.1w
+perl Configure VC-WIN64A --prefix=d:/openssl-1.1.1w
+nmake
+namke install
+
+```
+
+### Build runtime
+```
+git clone https://github.com/alibaba-damo-academy/FunASR.git 
+cd FunASR/runtime/websocket
+mkdir build
+cd build
+cmake ../ -D OPENSSL_ROOT_DIR=d:/openssl-1.1.1w -D FFMPEG_DIR=d:/ffmpeg-master-latest-win64-gpl-shared -D ONNXRUNTIME_DIR=d:/onnxruntime-win-x64-1.16.1
+```
+Open FunASRWebscoket.sln in Visual Studio and complete the compilation.
+

runtime/websocket/readme_zh.md

@@ -6,14 +6,14 @@
 ## Linux/Unix 平台编译
 ### 下载 onnxruntime
 ```shell
-wget https://github.com/microsoft/onnxruntime/releases/download/v1.14.0/onnxruntime-linux-x64-1.14.0.tgz
+wget https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/onnxruntime-linux-x64-1.14.0.tgz
 tar -zxvf onnxruntime-linux-x64-1.14.0.tgz
 ```
 
 ### 下载 ffmpeg
 ```shell
-wget https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/ffmpeg-N-111383-g20b8688092-linux64-gpl-shared.tar.xz
-tar -xvf ffmpeg-N-111383-g20b8688092-linux64-gpl-shared.tar.xz
+wget https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/ffmpeg-master-latest-linux64-gpl-shared.tar.xz
+tar -xvf ffmpeg-master-latest-linux64-gpl-shared.tar.xz
 ```
 
 ### 安装依赖
@@ -32,24 +32,24 @@ apt-get install libssl-dev #ubuntu
 ```shell
 git clone https://github.com/alibaba-damo-academy/FunASR.git && cd FunASR/runtime/websocket
 mkdir build && cd build
-cmake  -DCMAKE_BUILD_TYPE=release .. -DONNXRUNTIME_DIR=/path/to/onnxruntime-linux-x64-1.14.0 -DFFMPEG_DIR=/path/to/ffmpeg-N-111383-g20b8688092-linux64-gpl-shared
+cmake  -DCMAKE_BUILD_TYPE=release .. -DONNXRUNTIME_DIR=/path/to/onnxruntime-linux-x64-1.14.0 -DFFMPEG_DIR=/path/to/ffmpeg-master-latest-linux64-gpl-shared
 make -j 4
 ```
 
 
 ## Windows 平台编译
 ### 下载 onnxruntime
-https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-master-latest-win64-gpl-\shared.zip
+https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/onnxruntime-win-x64-1.16.1.zip
 
 下载并解压到 d:\ffmpeg-master-latest-win64-gpl-shared
 
 ### 下载 ffmpeg
-https://github.com/microsoft/onnxruntime/releases/download/v1.16.1/onnxruntime-win-x64-1.16.1.zip
+https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/ffmpeg-master-latest-win64-gpl-shared.zip
 
 下载并解压到 d:\onnxruntime-win-x64-1.16.1
 
 ### 编译 openssl
-https://www.openssl.org/source/openssl-1.1.1w.tar.gz 
+https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/dep_libs/openssl-1.1.1w.tar.gz 
 
 下载解压到 d:/src/openssl-1.1.1w