Analysis of real-time semantic analysis techniques
This function adopts Tencent's self-developed "Xingtu" speech recognition engine and "Zhiwen" semantic understanding framework, forming a unique dual-engine processing architecture:
Technology realization path
- Voice transcription:Real-time transcription with 1.5-second latency, supporting 8 Chinese dialects and 3 foreign languages with mixed-speaker recognition
- Topic Clustering:Identifying topic boundaries such as "product design" and "marketing strategy" through BERT modeling
- Importance rating:Calculate content weights based on frequency of presentations, number of times emphasized by the moderator, and keyword density
- Abstract Generation:Adoption of Pointer Generation Network (PGN) technology to ensure zero omission of key data (numbers/time/people)
Typical Application Scenarios
In a requirements review meeting, the system will:
- Highlight all Business Requirement descriptions in purple color
- Automatically extract constraints such as "Priority P0" and "Scheduling Q3".
- Generate a separate Risk Alert Card for the "Technical Feasibility" point of contention
Users can jump directly to the corresponding point in time of the meeting recording by clicking the "Traceability" button in the summary.
This answer comes from the articleTencent Conference AI Assistant: An Auxiliary Tool to Intelligently Enhance Conference EfficiencyThe
May not be reproduced without permission:AI productivity tools " How exactly does the real-time discussion analytics feature of AI Little Helper Pro work?
