ASR-Driven Topic Detection for Automated Side-Conversation Scheduling
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Solution Overview
Problem
Conventional conference systems fail to detect side conversations that deviate from the intended discussion topic, leading to disruption and potential unfulfillment of planned discussion points, without providing a mechanism for a later discussion on the off-topic subject.
Innovation Solution
A conference system using automated speech recognition (ASR) and machine learning (ML) to detect off-topic discussions, identify participants, and automatically schedule a future conference based on their availability, incorporating the detected topic as discussion points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated speech recognition and machine learning are implemented to detect off-topic discussions, then conference efficiency is improved by preventing time wastage, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary system comprising automated speech recognition (ASR) and machine learning (ML) components that act as a mediator between the conference participants and the conference management process. This intermediary detects off-topic discussions by analyzing speech patterns and contextual information, then automatically manages the detoured topics by scheduling future conferences, thereby resolving the technical contradiction by automating the detection and management process rather than requiring manual intervention
Solution Approach 2:
The system enables self-service by allowing the conference management process to automatically detect, identify, and schedule future conferences for off-topic discussions without requiring manual intervention from conference organizers or participants. The ASR and ML components continuously monitor the conference, autonomously determine when topics are detoured, and automatically create and send conference invitations, thereby improving efficiency while managing complexity through automation
2Measurement precision
If manual monitoring of conference topics is performed, then detection accuracy is maintained, but loss of time increases due to manual intervention
Solution Approach 1:
The patent replaces the mechanical system of manual topic monitoring with an automated electronic system comprising speech recognition and machine learning algorithms. The ASR component converts speech to text in real-time, and the ML component analyzes the transcribed content to detect off-topic discussions, thereby substituting manual human effort with automated technological processes that maintain detection accuracy while eliminating time loss associated with manual intervention
Solution Approach 2:
The automated system enables continuous monitoring of conference topics without interruption, whereas manual monitoring would require periodic human intervention. The ASR and ML components operate continuously throughout the conference, constantly analyzing speech patterns and contextual information to detect detoured topics, thereby maintaining measurement precision while eliminating the time loss inherent in manual monitoring cycles
3Ease of operation
If off-topic discussions are allowed to proceed without intervention, then ease of operation is maintained, but loss of information occurs as planned discussion points remain unfulfilled
Solution Approach 1:
The system implements feedback by continuously monitoring conference content through ASR and ML, comparing detected topics against the planned agenda, and providing automatic responses when off-topic discussions are detected. The system feeds back this information by automatically scheduling future conferences for the detoured topics, thereby preserving important information while maintaining conference flexibility through automated rather than manual intervention
Data Source
AI summary
A conference system automatically detects a topic in a discussion between two or more participants in a conference based on a transcription of an audio component of the conference. The conference system determines that the discussion is a side conversation based on a determination that the topic is not related to any discussion points of the conference. The conference system determines which participants are related to the side conversation and schedules a future conference between these participants. The conference system generates one or more discussion points for the future conference based on the topic.