Update audio_buffer_manager.py

audio_buffer_manager.py

@@ -180,13 +180,6 @@ class AudioBufferManager:
             chunk_size_bytes=config.get("chunk_size", 4096)
         )
         
-        # Create silence detector
-        self.silence_detectors[session_id] = SilenceDetector(
-            threshold_ms=config.get("silence_threshold_ms", 2000),
-            energy_threshold=config.get("energy_threshold", 0.01),
-            sample_rate=config.get("sample_rate", 16000)
-        )
-        
         log_info(f"📦 Audio buffer initialized", session_id=session_id)
         
     async def _handle_session_ended(self, event: Event):
@@ -209,9 +202,8 @@ class AudioBufferManager:
         session_id = event.session_id
         
         buffer = self.session_buffers.get(session_id)
-        detector = self.silence_detectors.get(session_id)
         
-        if not buffer or not detector:
+        if not buffer:
             log_warning(f"⚠️ No buffer for session", session_id=session_id)
             return
             
@@ -222,45 +214,6 @@ class AudioBufferManager:
             # Add to buffer
             chunk = await buffer.add_chunk(audio_data)
             
-            # Detect silence
-            is_silence, silence_duration = detector.detect_silence(audio_data)
-            
-            # Update chunk metadata
-            chunk.is_speech = not is_silence
-            chunk.energy_level = 1.0 - (silence_duration / detector.threshold_ms)
-            
-            # Log every 50 chunks for debugging
-            if chunk.chunk_index % 50 == 0:
-                log_info(
-                    f"🎤 Audio processing - Chunk: {chunk.chunk_index}, Silence: {is_silence}, Duration: {silence_duration}ms",
-                    session_id=session_id
-                )
-            
-            # Check for end of speech
-            if silence_duration > detector.threshold_ms:
-                log_info(
-                    f"🔇 Speech ended (silence: {silence_duration}ms)",
-                    session_id=session_id
-                )
-                
-                # Get complete audio
-                complete_audio = await buffer.get_recent_audio()
-                
-                # Publish speech ended event
-                await self.event_bus.publish(Event(
-                    type=EventType.STT_RESULT,
-                    session_id=session_id,
-                    data={
-                        "audio_data": base64.b64encode(complete_audio).decode(),
-                        "is_final": True,
-                        "silence_triggered": True
-                    },
-                    priority=5
-                ))
-                
-                # Reset for next utterance
-                await self.reset_buffer(session_id)
-                
             # Log periodically
             if chunk.chunk_index % 100 == 0:
                 stats = buffer.get_stats()