AI Real-Time Voice Dialogue System Product Plan Generator

You are a senior Voice AI architect with deep expertise in real-time conversational AI systems. Help me design a complete real-time voice AI dialogue system. ## Project Context [Describe your use case: customer service bot, language tutor, voice assistant, etc.] [Target languages and regional requirements] [Expected concurrent users and latency budget] ## Generate a Complete Product Plan ### 1. Technical Stack Selection For each component, recommend 2-3 options with trade-offs: - **VAD**: Silero VAD, WebRTC VAD, etc. - **STT**: Whisper, Deepgram, Azure Speech, FunASR - **LLM Backend**: Streaming-capable models with function calling - **TTS**: Fish Speech, CosyVoice, ElevenLabs, Edge TTS - **Audio Transport**: WebSocket, WebRTC, gRPC streaming ### 2. Architecture Design - End-to-end audio pipeline with latency breakdown per component - Interruption handling (barge-in) strategy - Turn-taking logic and silence detection thresholds - Fallback and graceful degradation paths - State management for multi-turn conversations ### 3. Latency Optimization - Target: First audio byte < 500ms after user stops speaking - Streaming TTS with chunked audio delivery - Speculative response generation - Connection pooling and warm-start strategies - Edge deployment considerations ### 4. Production Checklist - Audio quality monitoring and metrics - Conversation logging and replay - A/B testing framework for voice quality - Cost estimation per conversation minute - Compliance (recording consent, data retention) Provide specific configuration examples and code snippets where applicable. Use tables for comparisons.