Revised examples of VAD usage

README.md

@@ -70,7 +70,7 @@ Recommended parameters for WebRTC VAD:
 
 #### Usage
 WebRTC VAD can identify speech in short audio frames, returning results for each frame.
-By utilizing parameters such as silenceDurationMs and speechDurationMs, you can enhance the
+By utilizing parameters such as **silenceDurationMs** and **speechDurationMs**, you can enhance the
 capability of VAD, enabling the detection of prolonged utterances while minimizing false positive
 results during pauses between sentences.
 
@@ -156,7 +156,7 @@ Recommended parameters for Silero VAD:
 
 #### Usage
 Silero VAD can identify speech in short audio frames, returning results for each frame. 
-By utilizing parameters such as silenceDurationMs and speechDurationMs, you can enhance the 
+By utilizing parameters such as **silenceDurationMs** and **speechDurationMs**, you can enhance the 
 capability of VAD, enabling the detection of prolonged utterances while minimizing false positive 
 results during pauses between sentences.
 
@@ -255,7 +255,7 @@ Recommended parameters for Yamnet VAD:
 #### Usage
 Yamnet VAD can identify [521](https://github.com/tensorflow/models/blob/master/research/audioset/yamnet/yamnet_class_map.csv) 
 audio event classes (such as speech, music, animal sounds and etc) in small audio frames.
-By utilizing parameters such as silenceDurationMs and speechDurationMs, you can enhance the
+By utilizing parameters such as **silenceDurationMs** and **speechDurationMs**, you can enhance the
 capability of VAD, enabling the detection of prolonged utterances while minimizing false positive
 results during pauses between sentences.