mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
82 lines
2.7 KiB
Markdown
82 lines
2.7 KiB
Markdown
(简体中文|[English](./qick_start.md))
|
||
|
||
<a name="快速开始"></a>
|
||
## 快速开始
|
||
|
||
您可以通过如下几种方式使用FunASR功能:
|
||
|
||
- 服务部署SDK
|
||
- 工业模型egs
|
||
- 学术模型egs
|
||
|
||
### 服务部署SDK
|
||
|
||
#### python版本示例
|
||
|
||
支持实时流式语音识别,并且会用非流式模型进行纠错,输出文本带有标点。目前只支持单个client,如需多并发请参考下方c++版本服务部署SDK
|
||
|
||
##### 服务端部署
|
||
```shell
|
||
cd funasr/runtime/python/websocket
|
||
python funasr_wss_server.py --port 10095
|
||
```
|
||
|
||
##### 客户端测试
|
||
```shell
|
||
python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "5,10,5"
|
||
#python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "8,8,4" --audio_in "./data/wav.scp"
|
||
```
|
||
更多例子可以参考([点击此处](https://alibaba-damo-academy.github.io/FunASR/en/runtime/websocket_python.html#id2))
|
||
|
||
<a name="cpp版本示例"></a>
|
||
#### c++版本示例
|
||
|
||
目前已支持离线文件转写服务(CPU),支持上百路并发请求
|
||
|
||
##### 服务端部署
|
||
可以用个下面指令,一键部署完成部署
|
||
```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
|
||
```
|
||
|
||
##### 客户端测试
|
||
|
||
```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](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/docs/SDK_tutorial_zh.md))
|
||
|
||
|
||
### 工业模型egs
|
||
|
||
如果您希望使用ModelScope中预训练好的工业模型,进行推理或者微调训练,您可以参考下面指令:
|
||
|
||
|
||
```python
|
||
from modelscope.pipelines import pipeline
|
||
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',
|
||
)
|
||
|
||
rec_result = inference_pipeline(audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')
|
||
print(rec_result)
|
||
# {'text': '欢迎大家来体验达摩院推出的语音识别模型'}
|
||
```
|
||
|
||
更多例子可以参考([点击此处](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_pipeline/quick_start.html))
|
||
|
||
|
||
### 学术模型egs
|
||
|
||
如果您希望从头开始训练,通常为学术模型,您可以通过下面的指令启动训练与推理:
|
||
|
||
```shell
|
||
cd egs/aishell/paraformer
|
||
. ./run.sh --CUDA_VISIBLE_DEVICES="0,1" --gpu_num=2
|
||
```
|
||
|
||
更多例子可以参考([点击此处](https://alibaba-damo-academy.github.io/FunASR/en/academic_recipe/asr_recipe.html)) |