Merge remote-tracking branch 'origin/main'

This commit is contained in:
lyblsgo 2023-11-10 11:05:14 +08:00
commit 73f4c8be50
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@ -54,7 +54,7 @@ FunASR has open-sourced a large number of pre-trained models on industrial data.
|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------:|:--------------------------------:|:----------:|
| <nobr>paraformer-zh ([⭐](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) [🤗]() )</nobr> | speech recognition, with timestamps, non-streaming | 60000 hours, Mandarin | 220M |
| <nobr>paraformer-zh-spk ( [](https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary) [🤗]() )</nobr> | speech recognition with speaker diarization, with timestamps, non-streaming | 60000 hours, Mandarin | 220M |
| <nobr>paraformer-zh-online ( [](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗]() )</nobr> | speech recognition, non-streaming | 60000 hours, Mandarin | 220M |
| <nobr>paraformer-zh-online ( [](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗]() )</nobr> | speech recognition, streaming | 60000 hours, Mandarin | 220M |
| <nobr>paraformer-en ( [](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [🤗]() )</nobr> | speech recognition, with timestamps, non-streaming | 50000 hours, English | 220M |
| <nobr>paraformer-en-spk ([🤗]() [⭐]() )</nobr> | speech recognition with speaker diarization, non-streaming | 50000 hours, English | 220M |
| <nobr>conformer-en ( [](https://modelscope.cn/models/damo/speech_conformer_asr-en-16k-vocab4199-pytorch/summary) [🤗]() )</nobr> | speech recognition, non-streaming | 50000 hours, English | 220M |

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@ -37,11 +37,11 @@ sudo systemctl start docker
### Image Hub
#### CPU
`registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.1.0`
`registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0`
#### GPU
`registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0-tf1.15.5-1.6.0`
`registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-py38-torch1.11.0-tf1.15.5-1.8.1`
### Pull Image
```shell

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@ -37,11 +37,11 @@ sudo systemctl start docker
### 镜像仓库
#### CPU
`registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.1.0`
`registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0`
#### GPU
`registry.cn-beijing.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.7.1-py38-torch2.0.1-tf1.15.5-1.7.0`
`registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-py38-torch1.11.0-tf1.15.5-1.8.1`
### 拉取镜像
```shell

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@ -28,37 +28,99 @@ python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk
For more examples, please refer to [docs](../runtime/python/websocket/README.md).
### C++ version Example
### Service Deployment Software
Currently, offline file transcription service (CPU) is supported, and concurrent requests of hundreds of channels are supported.
Both high-precision, high-efficiency, and high-concurrency file transcription, as well as low-latency real-time speech recognition, are supported. It also supports Docker deployment and multiple concurrent requests.
##### Docker Installation (optional)
###### If you have already installed Docker, skip this step.
##### The real-time transcription service, Mandarin (CPU)
###### Server Deployment
You can use the following command to complete the deployment:
```shell
curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy-online-cpu-zh.sh
sudo bash funasr-runtime-deploy-online-cpu-zh.sh install --workspace ./funasr-runtime-resources
curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh;
sudo bash install_docker.sh
```
##### Real-time Speech Recognition Service Deployment
###### Docker Image Download and Launch
Use the following command to pull and launch the FunASR software package Docker image[Get the latest image version](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online.md)
```shell
sudo docker pull \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.5
mkdir -p ./funasr-runtime-resources/models
sudo docker run -p 10096:10095 -it --privileged=true \
-v $PWD/funasr-runtime-resources/models:/workspace/models \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.5
```
###### Server Start
After Docker is started, start the funasr-wss-server-2pass service program:
```shell
cd FunASR/runtime
nohup bash run_server_2pass.sh \
--download-model-dir /workspace/models \
--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
--model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \
--online-model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx \
--punc-dir damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx \
--itn-dir thuduj12/fst_itn_zh \
--hotword /workspace/models/hotwords.txt > log.out 2>&1 &
# If you want to disable SSL, add the parameter: --certfile 0
# If you want to deploy with a timestamp or nn hotword model, please set --model-dir to the corresponding model:
# damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx (timestamp)
# damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx (nn hotword)
# If you want to load hotwords on the server side, please configure the hotwords in the host file ./funasr-runtime-resources/models/hotwords.txt (docker mapping address is /workspace/models/hotwords.txt):
# One hotword per line, format (hotword weight): Alibaba 20
```
###### Client Testing
Testing [samples](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/sample/funasr_samples.tar.gz)
```shell
python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass
python3 funasr_wss_client.py --host "127.0.0.1" --port 10096 --mode 2pass
```
For more examples, please refer to [docs](../runtime/docs/SDK_tutorial_online_zh.md)
For more examples, please refer to [docs](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online.md)
#### File Transcription Service, Mandarin (CPU)
##### Server Deployment
You can use the following command to complete the deployment:
###### Docker Image Download and Launch
Use the following command to pull and launch the FunASR software package Docker image[Get the latest image version](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_offline.md)
```shell
curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy-offline-cpu-zh.sh
sudo bash funasr-runtime-deploy-offline-cpu-zh.sh install --workspace ./funasr-runtime-resources
sudo docker pull \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0
mkdir -p ./funasr-runtime-resources/models
sudo docker run -p 10095:10095 -it --privileged=true \
-v $PWD/funasr-runtime-resources/models:/workspace/models \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0
```
###### Server Start
After Docker is started, start the funasr-wss-server service program:
```shell
cd FunASR/runtime
nohup bash run_server.sh \
--download-model-dir /workspace/models \
--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
--model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \
--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
--lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \
--itn-dir thuduj12/fst_itn_zh \
--hotword /workspace/models/hotwords.txt > log.out 2>&1 &
# If you want to disable SSL, add the parameter: --certfile 0
# If you want to use timestamp or nn hotword models for deployment, please set --model-dir to the corresponding model:
# damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx (timestamp)
# damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx (nn hotword)
# If you want to load hotwords on the server side, please configure the hotwords in the host machine file ./funasr-runtime-resources/models/hotwords.txt (docker mapping address is /workspace/models/hotwords.txt):
# One hotword per line, format (hotword weight): Alibaba 20
```
##### Client Testing
@ -68,7 +130,7 @@ Testing [samples](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/sam
python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode offline --audio_in "../audio/asr_example.wav"
```
For more examples, please refer to [docs](../runtime/docs/SDK_tutorial_zh.md)
For more examples, please refer to [docs](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_offline.md)
## Industrial Model Egs
@ -81,7 +143,7 @@ from modelscope.utils.constant import Tasks
inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
)
rec_result = inference_pipeline(audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')

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@ -5,11 +5,11 @@
您可以通过如下几种方式使用FunASR功能:
- 服务部署SDK
- 服务部署社区软件包
- 工业模型egs
- 学术模型egs
### 服务部署SDK
### 服务部署社区软件包
#### python版本示例
@ -29,37 +29,104 @@ python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk
更多例子可以参考([点击此处](../runtime/python/websocket/README.md)
<a name="cpp版本示例"></a>
#### c++版本示例
#### 服务部署软件包
集成有VADASR与标点恢复模型支持上百路并发请求
既可以进行高精度、高效率与高并发的文件转写也可以进行低延时的实时语音听写。支持Docker化部署多路请求。
##### 准备工作docker安装可选
###### 如果您已安装docker忽略本步骤
```shell
curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh;
sudo bash install_docker.sh
```
##### 实时语音听写服务部署
###### docker镜像下载与启动
通过下述命令拉取并启动FunASR软件包docker镜像[获取最新镜像版本](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online_zh.md)
```shell
curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy-online-cpu-zh.sh
sudo bash funasr-runtime-deploy-online-cpu-zh.sh install --workspace ./funasr-runtime-resources
sudo docker pull \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.5
mkdir -p ./funasr-runtime-resources/models
sudo docker run -p 10096:10095 -it --privileged=true \
-v $PWD/funasr-runtime-resources/models:/workspace/models \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.5
```
###### 服务端启动
docker启动之后启动 funasr-wss-server-2pass服务程序
```shell
cd FunASR/runtime
nohup bash run_server_2pass.sh \
--download-model-dir /workspace/models \
--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
--model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \
--online-model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx \
--punc-dir damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx \
--itn-dir thuduj12/fst_itn_zh \
--hotword /workspace/models/hotwords.txt > log.out 2>&1 &
# 如果您想关闭ssl增加参数--certfile 0
# 如果您想使用时间戳或者nn热词模型进行部署请设置--model-dir为对应模型
# damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx时间戳
# damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnxnn热词
# 如果您想在服务端加载热词,请在宿主机文件./funasr-runtime-resources/models/hotwords.txt配置热词docker映射地址为/workspace/models/hotwords.txt:
# 每行一个热词,格式(热词 权重):阿里巴巴 20
```
##### 客户端测试与使用
客户端测试([samples](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/sample/funasr_samples.tar.gz)
```shell
python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass
python3 funasr_wss_client.py --host "127.0.0.1" --port 10096 --mode 2pass
```
更多例子参考([点击此处](../runtime/docs/SDK_tutorial_online_zh.md)
更多例子参考([点击此处](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online_zh.md)
##### 离线文件转写服务部署
###### 服务端部署
###### 镜像启动
通过下述命令拉取并启动FunASR软件包docker镜像[获取最新镜像版本](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_offline_zh.md)
```shell
curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy-offline-cpu-zh.sh
sudo bash funasr-runtime-deploy-offline-cpu-zh.sh install --workspace ./funasr-runtime-resources
sudo docker pull \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0
mkdir -p ./funasr-runtime-resources/models
sudo docker run -p 10095:10095 -it --privileged=true \
-v $PWD/funasr-runtime-resources/models:/workspace/models \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0
```
###### 服务端启动
docker启动之后启动 funasr-wss-server服务程序
```shell
cd FunASR/runtime
nohup bash run_server.sh \
--download-model-dir /workspace/models \
--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
--model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \
--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
--lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \
--itn-dir thuduj12/fst_itn_zh \
--hotword /workspace/models/hotwords.txt > log.out 2>&1 &
# 如果您想关闭ssl增加参数--certfile 0
# 如果您想使用时间戳或者nn热词模型进行部署请设置--model-dir为对应模型
# damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx时间戳
# damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnxnn热词
# 如果您想在服务端加载热词,请在宿主机文件./funasr-runtime-resources/models/hotwords.txt配置热词docker映射地址为/workspace/models/hotwords.txt:
# 每行一个热词,格式(热词 权重):阿里巴巴 20
```
###### 客户端测试
客户端测试([samples](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/sample/funasr_samples.tar.gz)
```shell
python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode offline --audio_in "../audio/asr_example.wav"
```
更多例子参考([点击此处](../runtime/docs/SDK_tutorial_zh.md)
更多例子参考([点击此处](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_offline_zh.md)
@ -74,7 +141,7 @@ from modelscope.utils.constant import Tasks
inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
)
rec_result = inference_pipeline(audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')

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@ -38,7 +38,7 @@ docker安装失败请参考 [Docker Installation](https://alibaba-damo-academy.g
### 镜像启动
通过下述命令拉取并启动FunASR runtime-SDK的docker镜像
通过下述命令拉取并启动FunASR软件包的docker镜像
```shell
sudo docker pull \