Communication Support System Keyword Detection
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Solution Overview
Problem
Existing communication systems fail to provide timely and relevant information support during interactions such as business negotiations, remote medical consultations, or remote lectures, as users must explicitly ask questions to receive answers, limiting spontaneous assistance.
Innovation Solution
A communication support system that acquires participant speech, detects keywords, and provides relevant information from databases such as FAQs, anticipated questions, and industry information, automatically supporting the communication based on detected keywords.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the system provides information support only upon explicit user queries, then the system complexity remains low, but the timeliness and spontaneity of information support deteriorates
Solution Approach 1:
The system automatically detects keywords from participant speeches and retrieves relevant information without requiring explicit user queries. The communication support apparatus autonomously monitors speech content, identifies key terms, and provides supporting information, enabling the system to serve itself rather than waiting for user initiation.
Solution Approach 2:
The system continuously monitors speech content and provides real-time feedback by retrieving and displaying relevant information based on detected keywords. This closed-loop feedback mechanism allows the system to respond dynamically to ongoing communication, reducing information support delay while maintaining manageable complexity through automated processing.
2Ease of operation
If the system automatically provides information support based on detected keywords, then the spontaneity of assistance improves, but the risk of providing irrelevant or excessive information increases
Solution Approach 1:
The system uses detected keywords as intermediaries to bridge between speech content and relevant information. By focusing on specific keywords rather than processing entire speech content, the system efficiently retrieves pertinent information while filtering out irrelevant data, thus maintaining both spontaneity and reliability.
Solution Approach 2:
The system applies different processing qualities to different parts of the speech content by identifying and focusing on specific keywords. Rather than uniformly processing all speech data, the system selectively extracts meaningful keywords and retrieves information针对性地 (targetedly) related to those keywords, improving both spontaneity and information relevance.
3Speed
If the system processes and analyzes speech content in real-time, then the timeliness of information support improves, but the computational resources and processing time required increases
Solution Approach 1:
The system extracts only the essential keywords from speech content rather than processing the entire speech stream. By taking out and focusing on key terms, the system significantly reduces computational requirements while maintaining real-time responsiveness, thus improving speed while controlling energy consumption.
Solution Approach 2:
The system performs partial processing by focusing on keyword detection rather than comprehensive speech analysis. This partial action approach provides sufficient information support speed by processing only the most critical elements of speech content, avoiding the excessive computational resources that would be required for full speech analysis.
Data Source
AI summary
A system for supporting communication includes circuitry configured to: acquire a speech uttered by one or more participants participating in the communication; determine, in accordance with an utterance made by the one or more participants, whether the communication is to be supported, from the speech uttered by the one or more participants; and provide information supporting the communication based on a determination that the communication is to be supported.