update streaming asr readme, test=doc

demos/streaming_asr_server/README.md

@@ -5,6 +5,7 @@
 ## Introduction
 This demo is an implementation of starting the streaming speech service and accessing the service. It can be achieved with a single command using `paddlespeech_server` and `paddlespeech_client` or a few lines of code in python.
 
+Streaming ASR server only support `websocket` protocol, and doesn't support `http` protocol.
 
 ## Usage
 ### 1. Installation
@@ -188,7 +189,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
 **Note:** The response time will be slightly longer when using the client for the first time
 - Command Line (Recommended)
    ```
-   paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --input ./zh.wav
+   paddlespeech_client asr --server_ip 127.0.0.1 --port 8090 --input ./zh.wav --protocol websocket
    ```
 
   Usage:
@@ -284,8 +285,9 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
       port=8090,
       sample_rate=16000,
       lang="zh_cn",
-      audio_format="wav")
+      audio_format="wav",
-  print(res.json())
+      protocol="websocket")
+  print(res)
   ```
 
   Output:

demos/streaming_asr_server/README_cn.md

@@ -5,13 +5,14 @@
 ## 介绍
 这个demo是一个启动流式语音服务和访问服务的实现。 它可以通过使用`paddlespeech_server` 和 `paddlespeech_client`的单个命令或 python 的几行代码来实现。
 
+流式语音识别服务只支持 `weboscket` 协议，不支持 `http` 协议。
 
 ## 使用方法
 ### 1. 安装
 请看 [安装文档](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md).
 
 推荐使用 **paddlepaddle 2.2.1** 或以上版本。
-你可以从 medium，hard 三中方式中选择一种方式安装 PaddleSpeech。
+你可以从medium，hard 二中方式中选择一种方式安装 PaddleSpeech。
 
 
 ### 2. 准备配置文件
@@ -187,7 +188,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
 **注意：** 初次使用客户端时响应时间会略长
 - 命令行 (推荐使用)
    ```
-   paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --input ./zh.wav
+   paddlespeech_client asr --server_ip 127.0.0.1 --port 8090 --input ./zh.wav --protocol websocket
 
    ```
 
@@ -275,18 +276,19 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
 
 - Python API
   ```python
-  from paddlespeech.server.bin.paddlespeech_client import ASROnlineClientExecutor
+  from paddlespeech.server.bin.paddlespeech_client import ASRClientExecutor
   import json
 
-  asrclient_executor = ASROnlineClientExecutor()
+  asrclient_executor = ASRClientExecutor()
   res = asrclient_executor(
       input="./zh.wav",
       server_ip="127.0.0.1",
       port=8090,
       sample_rate=16000,
       lang="zh_cn",
-      audio_format="wav")
+      audio_format="wav",
-  print(res.json())
+      protocol="websocket")
+  print(res)
   ```
 
   输出:

demos/streaming_asr_server/conf/application.yaml

@@ -0,0 +1,45 @@
+# This is the parameter configuration file for PaddleSpeech Serving.
+
+#################################################################################
+#                             SERVER SETTING                                    #
+#################################################################################
+host: 0.0.0.0
+port: 8090
+
+# The task format in the engin_list is: <speech task>_<engine type>
+# task choices = ['asr_online']
+# protocol = ['websocket'] (only one can be selected).
+# websocket only support online engine type.
+protocol: 'websocket'
+engine_list: ['asr_online']
+
+
+#################################################################################
+#                                ENGINE CONFIG                                  #
+#################################################################################
+
+################################### ASR #########################################
+################### speech task: asr; engine_type: online #######################
+asr_online:
+    model_type: 'conformer_online_multicn'
+    am_model: # the pdmodel file of am static model [optional]
+    am_params:  # the pdiparams file of am static model [optional]
+    lang: 'zh'
+    sample_rate: 16000
+    cfg_path: 
+    decode_method: 
+    force_yes: True
+    device: # cpu or gpu:id
+    am_predictor_conf:
+        device:  # set 'gpu:id' or 'cpu'
+        switch_ir_optim: True
+        glog_info: False  # True -> print glog
+        summary: True  # False -> do not show predictor config
+
+    chunk_buffer_conf:
+        window_n: 7     # frame
+        shift_n: 4      # frame
+        window_ms: 25   # ms
+        shift_ms: 10    # ms
+        sample_rate: 16000
+        sample_width: 2

demos/streaming_asr_server/conf/ws_application.yaml

@@ -7,8 +7,8 @@ host: 0.0.0.0
 port: 8090
 
 # The task format in the engin_list is: <speech task>_<engine type>
-# task choices = ['asr_online', 'tts_online']
+# task choices = ['asr_online']
-# protocol = ['websocket', 'http'] (only one can be selected).
+# protocol = ['websocket'] (only one can be selected).
 # websocket only support online engine type.
 protocol: 'websocket'
 engine_list: ['asr_online']

demos/streaming_asr_server/conf/ws_conformer_application.yaml

@@ -7,8 +7,8 @@ host: 0.0.0.0
 port: 8090
 
 # The task format in the engin_list is: <speech task>_<engine type>
-# task choices = ['asr_online', 'tts_online']
+# task choices = ['asr_online']
-# protocol = ['websocket', 'http'] (only one can be selected).
+# protocol = ['websocket'] (only one can be selected).
 # websocket only support online engine type.
 protocol: 'websocket'
 engine_list: ['asr_online']