diff --git a/demos/speech_server/README.md b/demos/speech_server/README.md
index ac5cc4b00ac81d7c1b05ad94a4e3ceff428ff8ce..a03c3b9355410554e0018976b05c0d440971ea52 100644
--- a/demos/speech_server/README.md
+++ b/demos/speech_server/README.md
@@ -15,7 +15,7 @@ You can choose one way from easy, meduim and hard to install paddlespeech.
 ### 2. Prepare config File
 The configuration file contains the service-related configuration files and the model configuration related to the voice tasks contained in the service. They are all under the `conf` folder. 
 
-**Note: The configuration of `engine_backend` in `application.yaml` represents all speech tasks included in the started service. **
+**Note: The configuration of `engine_backend` in `application.yaml` represents all speech tasks included in the started service.**
 If the service you want to start contains only a certain speech task, then you need to comment out the speech tasks that do not need to be included. For example, if you only want to use the speech recognition (ASR) service, then you can comment out the speech synthesis (TTS) service, as in the following example:
 ```bash
 engine_backend:
@@ -23,7 +23,7 @@ engine_backend:
     #tts: 'conf/tts/tts.yaml'
 ```
 
-**Note: The configuration file of `engine_backend` in `application.yaml` needs to match the configuration type of `engine_type`. **
+**Note: The configuration file of `engine_backend` in `application.yaml` needs to match the configuration type of `engine_type`.**
 When the configuration file of `engine_backend` is `XXX.yaml`, the configuration type of `engine_type` needs to be set to `python`; when the configuration file of `engine_backend` is `XXX_pd.yaml`, the configuration of `engine_type` needs to be set type is `inference`;
 
 The input of  ASR client demo should be a WAV file(`.wav`), and the sample rate must be the same as the model.