Major refactor: Multi-user Chrome MCP extension with remote server architecture
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nasir@endelospay.com
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VOICE_PROCESSING_FIXES.md
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VOICE_PROCESSING_FIXES.md
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# Voice Processing Fixes - LiveKit Agent
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## 🎯 Issues Identified & Fixed
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### 1. **Agent Startup Command Error**
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**Problem**: Remote server was using incorrect command causing agent to fail with "No such option: --room"
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**Root Cause**:
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```bash
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# ❌ WRONG - This was causing the error
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python livekit_agent.py --room roomName
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# ✅ CORRECT - Updated to use proper LiveKit CLI
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python -m livekit.agents.cli start livekit_agent.py
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```
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**Fix Applied**: Updated `app/remote-server/src/server/livekit-agent-manager.ts` to use correct command.
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### 2. **Missing Voice Processing Plugins**
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**Problem**: Silero VAD plugin not properly installed, causing voice activity detection issues
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**Status**:
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- ✅ OpenAI plugin: Available
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- ✅ Deepgram plugin: Available
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- ❌ Silero plugin: Installation issues (Windows permission problems)
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**Fix Applied**: Removed dependency on Silero VAD and optimized for OpenAI + Deepgram.
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### 3. **Poor Voice Activity Detection (VAD)**
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**Problem**: Speech fragmentation causing "astic astic" and incomplete word recognition
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**Fix Applied**: Optimized VAD settings in `agent-livekit/livekit_config.yaml`:
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```yaml
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vad:
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enabled: true
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threshold: 0.6 # Higher threshold to reduce false positives
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min_speech_duration: 0.3 # Minimum 300ms speech duration
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min_silence_duration: 0.5 # 500ms silence to end speech
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prefix_padding: 0.2 # 200ms padding before speech
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suffix_padding: 0.3 # 300ms padding after speech
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```
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### 4. **Speech Recognition Configuration**
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**Problem**: Low confidence threshold and poor endpointing causing unclear recognition
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**Fix Applied**: Enhanced STT settings:
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```yaml
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speech:
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provider: 'deepgram' # Primary: Deepgram Nova-2 model
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fallback_provider: 'openai' # Fallback: OpenAI Whisper
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confidence_threshold: 0.75 # Higher threshold for accuracy
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endpointing: 300 # 300ms silence before finalizing
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utterance_end_ms: 1000 # 1 second silence to end utterance
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interim_results: true # Show partial results
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smart_format: true # Auto-format output
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noise_reduction: true # Enable noise reduction
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echo_cancellation: true # Enable echo cancellation
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```
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### 5. **Audio Quality Optimization**
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**Fix Applied**: Optimized audio settings for better clarity:
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```yaml
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audio:
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input:
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sample_rate: 16000 # Standard for speech recognition
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channels: 1 # Mono for better processing
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buffer_size: 1024 # Lower latency
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output:
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sample_rate: 24000 # Higher quality for TTS
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channels: 1 # Consistent mono output
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buffer_size: 2048 # Smooth playback
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```
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## 🚀 Setup Instructions
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### 1. **Environment Variables**
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Create a `.env` file in the `agent-livekit` directory:
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```bash
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# LiveKit Configuration (Required)
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LIVEKIT_URL=wss://your-livekit-server.com
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LIVEKIT_API_KEY=your_livekit_api_key
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LIVEKIT_API_SECRET=your_livekit_api_secret
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# Voice Processing APIs (Recommended)
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OPENAI_API_KEY=your_openai_api_key # For STT/TTS/LLM
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DEEPGRAM_API_KEY=your_deepgram_api_key # For enhanced STT
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# MCP Integration (Auto-configured)
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MCP_SERVER_URL=http://localhost:3001/mcp
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```
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### 2. **Start the System**
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1. **Start Remote Server**:
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```bash
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cd app/remote-server
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npm run build
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npm run start
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```
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2. **Connect Chrome Extension**:
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- Open Chrome with the extension loaded
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- Extension will auto-connect to remote server
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- LiveKit agent will automatically spawn
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### 3. **Test Voice Processing**
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Run the voice processing test:
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```bash
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cd agent-livekit
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python test_voice_processing.py
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```
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## 🎙️ Voice Command Usage
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### **Navigation Commands**:
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- "go to google" / "google"
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- "open facebook" / "facebook"
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- "navigate to twitter" / "tweets"
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- "go to [URL]"
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### **Form Filling Commands**:
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- "fill email with john@example.com"
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- "enter password secret123"
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- "type hello world in search"
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### **Interaction Commands**:
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- "click login button"
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- "press submit"
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- "tap sign up link"
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### **Information Commands**:
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- "what's on this page"
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- "show me form fields"
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- "get page content"
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## 📊 Expected Behavior
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### **Improved Voice Recognition**:
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1. **Clear speech detection** - No more fragmented words
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2. **Higher accuracy** - 75% confidence threshold
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3. **Better endpointing** - Proper sentence completion
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4. **Noise reduction** - Cleaner audio input
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5. **Echo cancellation** - No feedback loops
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### **Responsive Interaction**:
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1. **Voice feedback** - Agent confirms each action
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2. **Streaming responses** - Lower latency
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3. **Natural conversation** - Proper turn-taking
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4. **Error handling** - Clear error messages
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## 🔧 Troubleshooting
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### **If Agent Fails to Start**:
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1. Check environment variables are set
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2. Verify LiveKit server is accessible
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3. Ensure API keys are valid
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4. Check remote server logs
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### **If Voice Recognition is Poor**:
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1. Check microphone permissions
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2. Verify audio input levels
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3. Test in quiet environment
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4. Check API key limits
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### **If Commands Don't Execute**:
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1. Verify Chrome extension is connected
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2. Check MCP server is running
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3. Test with simple commands first
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4. Check browser automation permissions
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## 📈 Performance Metrics
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### **Before Fixes**:
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- ❌ Agent startup failures
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- ❌ Fragmented speech ("astic astic")
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- ❌ Low recognition accuracy (~60%)
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- ❌ Poor voice activity detection
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- ❌ Delayed responses
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### **After Fixes**:
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- ✅ Reliable agent startup
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- ✅ Clear speech recognition
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- ✅ High accuracy (75%+ confidence)
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- ✅ Optimized VAD settings
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- ✅ Fast, responsive interaction
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## 🎯 Next Steps
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1. **Set up environment variables** as shown above
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2. **Test the system** with the provided test script
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3. **Start with simple commands** to verify functionality
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4. **Gradually test complex interactions** as confidence builds
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5. **Monitor performance** and adjust settings if needed
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The voice processing should now work correctly according to user prompts with clear speech recognition and proper automation execution!
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