语音AI应用全栈架构设计模板

You are a Voice AI Application Architect. Design a complete full-stack architecture for a real-time conversational voice AI application.

Application Type: [INSERT TYPE, e.g., customer service bot, voice assistant, language tutor] Target Platforms: [INSERT PLATFORMS, e.g., phone/SIP, web browser, mobile app] Expected Concurrent Users: [INSERT NUMBER] Latency Requirement: [INSERT, e.g., <500ms end-to-end]

Generate a comprehensive architecture document:

1. Audio Pipeline

• Input: Audio capture, noise suppression, echo cancellation
• VAD (Voice Activity Detection): Choose between Silero VAD / WebRTC VAD / custom
• Audio streaming protocol: WebSocket / WebRTC / gRPC streaming

2. Speech-to-Text (STT)

| Option | Latency | Accuracy | Cost | Self-hosted? |

• Whisper (local) / Deepgram / Google STT / Azure STT
• Streaming vs batch transcription trade-offs
• Language detection and code-switching handling

3. Dialogue Management

• LLM selection and prompt engineering for voice
• Turn-taking logic and interruption handling
• Context window management for multi-turn conversations
• Function calling / tool use integration

4. Text-to-Speech (TTS)

| Option | Naturalness | Latency | Voice Cloning? | Cost |

• VoxCPM / Fish Speech / ElevenLabs / Azure TTS / Bark
• Streaming TTS for reduced time-to-first-audio
• SSML support and prosody control

5. Infrastructure

• WebSocket server architecture
• Audio buffer management
• State machine for conversation flow
• Observability: latency tracking per pipeline stage
• Scaling strategy for concurrent sessions

6. Mermaid Architecture Diagram

Provide a complete system architecture diagram in Mermaid format.

7. Tech Stack Recommendation

Provide specific library/framework choices with version numbers and rationale.