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DeepSpeech
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demos/streaming_asr_server/README_cn.md
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......@@ -19,11 +19,11 @@
流式ASR的服务启动脚本和服务测试脚本存放在 `PaddleSpeech/demos/streaming_asr_server` 目录。
下载好 `PaddleSpeech` 之后，进入到 `PaddleSpeech/demos/streaming_asr_server` 目录。
配置文件可参见该目录下 `conf/ws_application.yaml` 和 `conf/ws_conformer_application.yaml` 。
配置文件可参见该目录下 `conf/ws_application.yaml` 和 `conf/ws_conformer_wenetspeech_application.yaml` 。
目前服务集成的模型有： DeepSpeech2和 conformer模型，对应的配置文件如下：
* DeepSpeech: `conf/ws_application.yaml`
* conformer: `conf/ws_conformer_application.yaml`
* conformer: `conf/ws_conformer_wenetspeech_application.yaml`
......@@ -39,7 +39,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
**注意:** 默认部署在 `cpu` 设备上，可以通过修改服务配置文件中 `device` 参数部署在 `gpu` 上。
```bash
# 在 PaddleSpeech/demos/streaming_asr_server 目录启动服务
paddlespeech_server start --config_file ./conf/ws_conformer_application.yaml
paddlespeech_server start --config_file ./conf/ws_conformer_wenetspeech_application.yaml
```
使用方法：
......@@ -53,31 +53,27 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
输出:
```bash
[2022-04-21 15:52:18,126] [ INFO] - create the online asr engine instance
[2022-04-21 15:52:18,127] [ INFO] - paddlespeech_server set the device: cpu
[2022-04-21 15:52:18,128] [ INFO] - Load the pretrained model, tag = conformer_online_multicn-zh-16k
[2022-04-21 15:52:18,128] [ INFO] - File /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k/asr1_chunk_conformer_multi_cn_ckpt_0.2.3.model.tar.gz md5 checking...
[2022-04-21 15:52:18,727] [ INFO] - Use pretrained model stored in: /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k
[2022-04-21 15:52:18,727] [ INFO] - /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k
[2022-04-21 15:52:18,727] [ INFO] - /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k/model.yaml
[2022-04-21 15:52:18,727] [ INFO] - /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k/exp/chunk_conformer/checkpoints/multi_cn.pdparams
[2022-04-21 15:52:18,727] [ INFO] - /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k/exp/chunk_conformer/checkpoints/multi_cn.pdparams
[2022-04-21 15:52:19,446] [ INFO] - start to create the stream conformer asr engine
[2022-04-21 15:52:19,473] [ INFO] - model name: conformer_online
[2022-04-21 15:52:21,731] [ INFO] - create the transformer like model success
[2022-04-21 15:52:21,733] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [11173]
[2022-04-21 15:52:21] [INFO] [server.py:75] Started server process [11173]
[2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance
[2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu
[2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k
[2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking...
[2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine
[2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online
[2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success
[2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [4242]
[2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242]
INFO: Waiting for application startup.
[2022-04-21 15:52:21] [INFO] [on.py:45] Waiting for application startup.
[2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-21 15:52:21] [INFO] [on.py:59] Application startup complete.
/home/users/xiongxinlei/.conda/envs/paddlespeech/lib/python3.9/asyncio/base_events.py:1460: DeprecationWarning: The loop argument is deprecated since Python 3.8, and scheduled for removal in Python 3.10.
infos = await tasks.gather(*fs, loop=self)
/home/users/xiongxinlei/.conda/envs/paddlespeech/lib/python3.9/asyncio/base_events.py:1518: DeprecationWarning: The loop argument is deprecated since Python 3.8, and scheduled for removal in Python 3.10.
await tasks.sleep(0, loop=self)
[2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-04-21 15:52:21] [INFO] [server.py:206] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8091 (Press CTRL+C to quit)
```
- Python API
......@@ -88,37 +84,33 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
server_executor = ServerExecutor()
server_executor(
config_file="./conf/ws_conformer_application.yaml",
config_file="./conf/ws_conformer_wenetspeech_application",
log_file="./log/paddlespeech.log")
```
输出：
```bash
[2022-04-21 15:52:18,126] [ INFO] - create the online asr engine instance
[2022-04-21 15:52:18,127] [ INFO] - paddlespeech_server set the device: cpu
[2022-04-21 15:52:18,128] [ INFO] - Load the pretrained model, tag = conformer_online_multicn-zh-16k
[2022-04-21 15:52:18,128] [ INFO] - File /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k/asr1_chunk_conformer_multi_cn_ckpt_0.2.3.model.tar.gz md5 checking...
[2022-04-21 15:52:18,727] [ INFO] - Use pretrained model stored in: /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k
[2022-04-21 15:52:18,727] [ INFO] - /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k
[2022-04-21 15:52:18,727] [ INFO] - /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k/model.yaml
[2022-04-21 15:52:18,727] [ INFO] - /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k/exp/chunk_conformer/checkpoints/multi_cn.pdparams
[2022-04-21 15:52:18,727] [ INFO] - /home/users/xiongxinlei/.paddlespeech/models/conformer_online_multicn-zh-16k/exp/chunk_conformer/checkpoints/multi_cn.pdparams
[2022-04-21 15:52:19,446] [ INFO] - start to create the stream conformer asr engine
[2022-04-21 15:52:19,473] [ INFO] - model name: conformer_online
[2022-04-21 15:52:21,731] [ INFO] - create the transformer like model success
[2022-04-21 15:52:21,733] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [11173]
[2022-04-21 15:52:21] [INFO] [server.py:75] Started server process [11173]
[2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance
[2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu
[2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k
[2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking...
[2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams
[2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine
[2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online
[2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success
[2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully.
INFO: Started server process [4242]
[2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242]
INFO: Waiting for application startup.
[2022-04-21 15:52:21] [INFO] [on.py:45] Waiting for application startup.
[2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup.
INFO: Application startup complete.
[2022-04-21 15:52:21] [INFO] [on.py:59] Application startup complete.
/home/users/xiongxinlei/.conda/envs/paddlespeech/lib/python3.9/asyncio/base_events.py:1460: DeprecationWarning: The loop argument is deprecated since Python 3.8, and scheduled for removal in Python 3.10.
infos = await tasks.gather(*fs, loop=self)
/home/users/xiongxinlei/.conda/envs/paddlespeech/lib/python3.9/asyncio/base_events.py:1518: DeprecationWarning: The loop argument is deprecated since Python 3.8, and scheduled for removal in Python 3.10.
await tasks.sleep(0, loop=self)
[2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-04-21 15:52:21] [INFO] [server.py:206] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit)
[2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8091 (Press CTRL+C to quit)
```
### 4. ASR 客户端使用方法
......
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