Phase 3: Voice Features - COMPLETE ✓
Date: 2025-11-23 Status: ✅ Complete Commit: eefee13 Branch: claude/review-codebase-planning-01BPQKdZZnAgjqJ8F3ztUYtV
Overview
Phase 3 successfully implements voice input and audio playback features for the VoiceAssist web application, enabling push-to-talk transcription and text-to-speech for assistant responses.
Completed Features
Backend Implementation
Voice API Endpoints (services/api-gateway/app/api/voice.py)
-
POST /voice/transcribe
- Audio transcription using OpenAI Whisper API
- Supports multiple audio formats (webm, mp3, wav, etc.)
- 25MB file size limit
- Real-time transcription with error handling
- Authenticated endpoint with user tracking
-
POST /voice/synthesize
- Text-to-speech using OpenAI TTS API
- Multiple voice options (alloy, echo, fable, onyx, nova, shimmer)
- MP3 audio output format
- 4096 character text limit
- Streaming audio response
Integration
- Voice router registered in main application (
services/api-gateway/app/main.py) - CORS middleware configured for audio endpoints
- Rate limiting applied
- Comprehensive logging and error handling
Frontend Implementation
Audio Playback (apps/web-app/src/components/chat/MessageBubble.tsx)
-
Play Audio Button
- Appears on all assistant messages
- On-demand audio synthesis
- Loading state during generation
- Error handling with user-friendly messages
-
Audio Player Integration
- Custom AudioPlayer component with controls
- Play/pause functionality
- Progress bar with seek capability
- Duration display
- Auto-cleanup of audio resources
-
Voice Input (Already implemented in MessageInput)
- Push-to-talk functionality
- Real-time transcription display
- MediaRecorder API integration
- Visual feedback during recording
- Automatic transcript insertion
Technical Details
API Client Methods
// Transcribe audio to text apiClient.transcribeAudio(audioBlob: Blob): Promise<string> // Synthesize speech from text apiClient.synthesizeSpeech(text: string, voiceId?: string): Promise<Blob>
Voice Components
VoiceInput.tsx- Push-to-talk recording interfaceAudioPlayer.tsx- Audio playback with controlsVoiceSettings.tsx- Voice preferences (speed, volume, auto-play)
User Experience
Voice Input Flow
- User clicks microphone button in message input
- Voice input panel appears
- User presses and holds "Record" button
- Audio is recorded and sent to backend
- Transcribed text appears in message input
- User can edit and send the message
Audio Playback Flow
- Assistant message appears
- User clicks "Play Audio" button
- Audio is synthesized on-demand
- AudioPlayer component appears with controls
- User can play/pause and seek through audio
- Audio is cached for repeated playback
Error Handling
- Microphone Access Denied: Clear error message with instructions
- Transcription Failure: Retry option with error details
- Synthesis Failure: Error message with dismiss button
- Network Errors: Timeout handling and user feedback
- File Size Limits: Validation with clear error messages
Performance Considerations
- On-Demand Synthesis: Audio only generated when requested
- Blob Caching: Audio cached in component state for repeat playback
- Lazy Loading: Audio player only rendered when needed
- Resource Cleanup: Proper cleanup of audio URLs and streams
Security & Privacy
- Authentication Required: All voice endpoints require valid JWT
- Input Validation: File type, size, and content validation
- PHI Protection: Audio not persisted server-side
- HTTPS Only: Encrypted transmission of audio data
- User Consent: Microphone access requires browser permission
Testing Status
- ✅ Backend endpoints created and syntax-validated
- ✅ Frontend components integrated
- ⏳ End-to-end testing pending (requires OpenAI API key)
- ⏳ Audio quality testing
- ⏳ Cross-browser compatibility testing
Dependencies
Backend
- OpenAI Whisper API (audio transcription)
- OpenAI TTS API (speech synthesis)
- httpx for async HTTP requests
- FastAPI for API framework
Frontend
- MediaRecorder API (browser)
- Web Audio API (browser)
- React hooks for state management
- Zustand for auth state
Next Steps
- ✅ COMPLETED: Basic voice features
- ⏳ Phase 4: File upload (PDF, images)
- ⏳ Phase 5: Clinical context forms
- ⏳ Phase 6: Citation sidebar
- ⏳ Milestone 2: Advanced voice (WebRTC, VAD, barge-in)
Known Limitations (MVP)
- No continuous mode: Only push-to-talk (hands-free mode deferred to Milestone 2)
- No barge-in: Can't interrupt assistant while speaking
- No Voice Activity Detection: Manual start/stop required
- Single voice: Multiple voice options UI prepared but not yet implemented
- No voice settings persistence: Settings reset on page reload
Deferred Features (Milestone 2)
The following advanced voice features are deferred to Milestone 2 (Weeks 19-20):
- WebRTC audio streaming for lower latency
- Voice Activity Detection (VAD) for hands-free mode
- Echo cancellation and noise suppression
- Barge-in support for natural conversation
- Voice authentication
- OpenAI Realtime API integration
Files Changed
Created
services/api-gateway/app/api/voice.py(+267 lines)
Modified
services/api-gateway/app/main.py(+2 lines)apps/web-app/src/components/chat/MessageBubble.tsx(+111 lines)
Total: 380 lines added across 3 files
Commit Message
feat(voice): implement voice features - transcription and speech synthesis
Phase 3 - Voice Features Implementation
- Backend: OpenAI Whisper + TTS integration
- Frontend: Audio playback for assistant messages
- Voice input already integrated (MessageInput)
- Push-to-talk, on-demand synthesis, proper error handling
Progress: Milestone 1, Phase 3 Complete
Next: Phase 4 (File Upload)
🎉 Phase 3 Complete! Voice features successfully implemented and pushed to GitHub.