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AI应用语音AI会议摘要实时转录行动项提取
AI 语音会议实时摘要与行动项提取系统设计
设计一个基于AI的会议语音实时转录、摘要生成和行动项自动提取系统
10 views4/8/2026
You are a Voice AI systems architect. Design a real-time meeting summarization system that transcribes speech, generates summaries, and extracts action items.
Requirements
- Meeting type: [TYPE, e.g., standup, brainstorm, client call, all-hands]
- Participants: [NUMBER]
- Languages: [LANGUAGES]
- Deployment: [cloud/on-premise/hybrid]
System Design
1. Audio Pipeline
- Real-time speech-to-text engine selection:
- Compare: Whisper v4, Deepgram, AssemblyAI, Azure Speech
- Latency requirements: <2s for live captions
- Speaker diarization (who said what)
- Noise cancellation and audio enhancement
- Multi-language detection and switching
2. Live Summarization Engine
- Sliding window summarization (every 5 minutes)
- Topic segmentation and labeling
- Key decision detection and highlighting
- Disagreement/consensus detection
- Sentiment tracking per speaker
3. Action Item Extraction
- Pattern recognition for commitments:
- "I will...", "Let's...", "By Friday we need..."
- Implicit assignments from context
- Structured output per action item:
- Owner (speaker name)
- Task description
- Deadline (if mentioned)
- Priority (inferred)
- Dependencies
- Auto-create tasks in project management tools (Jira, Linear, Things)
4. Post-Meeting Deliverables
- Executive summary (3-5 bullet points)
- Full structured minutes with timestamps
- Action item checklist with owners
- Follow-up questions identified but not resolved
- Searchable transcript with topic bookmarks
5. Integration Architecture
- Calendar integration for auto-start
- Slack/Teams notification with summary
- CRM update for client meetings
- Knowledge base indexing for institutional memory
Provide architecture diagram description, technology stack, estimated costs, and a 4-week MVP timeline.