AI 实时语音对话系统产品方案生成器

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.