Meeting Transcript Topic Segmentation for Talking Speed Analysis
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Solution Overview
Problem
Existing digital communication platforms lack the ability to provide talking speed analysis per topic segment in communication sessions, which is crucial for organizations to improve performance metrics, particularly in sales meetings.
Innovation Solution
A system that connects to a communication session, generates a transcript with timestamps, determines meeting types, segments the conversation into topics, calculates word count per unit time for each participant, and presents this data to client devices for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If talking speed analysis is provided per topic segment, then communication performance measurement capability is improved, but system complexity increases
Solution Approach 1:
The patent segments the communication session into distinct topic segments based on transcript analysis. Each topic segment is identified and separated, allowing talking speed to be measured independently for each segment. This segmentation enables precise measurement of talking speed per topic while managing system complexity through modular processing of individual segments rather than analyzing the entire session as one unit.
Solution Approach 2:
The patent introduces an intermediary processing layer that analyzes the transcript to identify topic segments and calculates talking speed metrics. This intermediary layer acts as a mediator between the raw communication data and the final performance metrics, breaking down the complex task into manageable steps: transcript generation, topic segmentation, speaker identification, and talking speed calculation for each segment.
2Loss of information
If detailed talking speed data per participant per topic is collected, then performance analysis capability is improved, but data processing requirements increase
Solution Approach 1:
The patent extracts only the essential information needed for performance analysis: talking speed metrics per participant per topic segment. Rather than processing and storing all raw communication data, the system extracts specific metrics (word count, time duration, calculated talking speed) for each participant in each topic segment, reducing the quantity of data that needs to be processed and stored while retaining the critical performance information.
Solution Approach 2:
The patent applies local quality by providing differentiated talking speed analysis for each participant and each topic segment. Instead of a single aggregate metric for the entire session, the system generates localized metrics specific to each participant-topic combination, allowing targeted performance analysis and coaching while managing data volume through selective measurement rather than comprehensive data collection.
Data Source
AI summary
Methods and systems provide for presenting the results of talking speed analysis per topic segment in a communication session. The system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session, the transcript including timestamps for each utterance of a speaking participant; determines, based on analysis of the transcript, a meeting type for the communication session; generates, based on the meeting type, a number of topic segments for the conversation and respective timestamps for the topic segments; for each topic segment, determines a word count per unit of time for each speaking participant associated with a prespecified organization; and presents, to one or more client devices, data on the topic segments, each data including the word count per unit of time for each speaking participant within the topic segment.