Dynamic Topic Segmentation for Faster Meeting Transcript Navigation
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Solution Overview
Problem
Existing digital communication platforms lack the ability to dynamically segment meetings into topic segments and detect relevant topics within the content of the meeting, making it difficult and time-consuming for users to navigate and analyze recorded sales meetings.
Innovation Solution
A system that segments communication sessions into topic segments based on a transcript and a list of topics, using techniques like sentence embedding and zero-shot topic classification to identify and classify relevant segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing digital communication platforms are used to record meetings, then communication between participants is enabled, but the ability to navigate and analyze recorded meetings efficiently is lacking
Solution Approach 1:
The patent divides the continuous meeting transcript into discrete topic segments by identifying semantic boundaries and grouping utterances around specific topics. This segmentation allows users to navigate the meeting by selecting individual topic segments rather than reviewing the entire recording, significantly reducing the time required to locate specific discussion points.
Solution Approach 2:
The system introduces an intermediary layer between the raw meeting recording and the user's analysis needs. By generating topic segments that bridge the gap between complete transcripts and specific information queries, the system enables efficient navigation without requiring users to manually review entire recordings.
2Productivity
If dynamic topic segmentation is implemented, then efficient navigation of communication sessions is enabled, but system complexity increases
Solution Approach 1:
The system employs self-service mechanisms where the topic segmentation is performed automatically on meeting transcripts without requiring manual intervention. The semantic analysis and topic identification are conducted autonomously by the system, generating useful metadata that enhances navigation efficiency while avoiding the need for complex manual processing workflows.
Solution Approach 2:
The patent utilizes changes in semantic parameters and contextual thresholds to dynamically identify topic boundaries. By monitoring shifts in discussion themes, speaker changes, and temporal patterns, the system adapts segmentation parameters in real-time to accurately reflect the meeting structure, achieving high productivity through algorithmic rather than manual segmentation.
Data Source
AI summary
Topic segments for a communication session are dynamically generated. In one embodiment, the system segments utterances of a transcript into one or more topic segments based on the topic; for each of the segments, determines whether the topic segment is related to the topic, and transmits, to one or more client devices, a list of the topic segments for the communication session.