update reademe, add conf file, updata test_cli

demos/streaming_asr_server/README.md

@@ -33,6 +33,8 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
   ```bash
   # in PaddleSpeech/demos/streaming_asr_server start the service
    paddlespeech_server start --config_file ./conf/ws_conformer_wenetspeech_application.yaml
+  # if you want to increase decoding speed, you can use the config file below, it will increase decoding speed and reduce accuracy  
+   paddlespeech_server start --config_file ./conf/ws_conformer_wenetspeech_application_faster.yaml
   ```
 
   Usage:

demos/streaming_asr_server/README_cn.md

@@ -21,7 +21,7 @@
 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_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：
+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_wenetspeech_application.yaml`
 
@@ -40,6 +40,8 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
   ```bash
   # 在 PaddleSpeech/demos/streaming_asr_server 目录启动服务
   paddlespeech_server start --config_file ./conf/ws_conformer_wenetspeech_application.yaml
+  # 你如果愿意为了增加解码的速度而牺牲一定的模型精度，你可以使用如下的脚本 
+   paddlespeech_server start --config_file ./conf/ws_conformer_wenetspeech_application_faster.yaml
   ```
 
   使用方法：

demos/streaming_asr_server/conf/ws_conformer_wenetspeech_application_faster.yaml

@@ -0,0 +1,48 @@
+# 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_wenetspeech'
+    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' # cpu or gpu:id
+    decode_method: "attention_rescoring"
+    continuous_decoding: True # enable continue decoding when endpoint detected
+    num_decoding_left_chunks: 16
+    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

paddlespeech/cli/asr/infer.py

@@ -88,7 +88,7 @@ class ASRExecutor(BaseExecutor):
             '-num_left',
             type=str,
             default=-1,
-            help='only support transformer and conformer model')
+            help='only support transformer and conformer online model')
         self.parser.add_argument(
             '--ckpt_path',
             type=str,

paddlespeech/server/conf/ws_conformer_wenetspeech_application_faster.yaml

@@ -0,0 +1,48 @@
+# 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_wenetspeech'
+    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' # cpu or gpu:id
+    decode_method: "attention_rescoring"
+    continuous_decoding: True # enable continue decoding when endpoint detected
+    num_decoding_left_chunks: 16
+    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

tests/unit/cli/test_cli.sh

@@ -22,6 +22,9 @@ paddlespeech asr --model deepspeech2online_wenetspeech --input ./zh.wav
 paddlespeech asr --model deepspeech2online_aishell --input ./zh.wav
 paddlespeech asr --model deepspeech2offline_librispeech --lang en --input ./en.wav
 
+# Support editing num_decoding_left_chunks
+paddlespeech asr --model conformer_online_wenetspeech --num_decoding_left_chunks 3 --input ./zh.wav
+
 # long audio restriction
 {
 wget -c https://paddlespeech.bj.bcebos.com/datasets/single_wav/zh/test_long_audio_01.wav