Voice-to-Text Topic Selection for Phone Conversations
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Solution Overview
Problem
Users face inconvenience while on a phone call as they struggle to input characters and search for information, making it time-consuming to find relevant information for conversation.
Innovation Solution
An apparatus and method that converts voice data into text, selects keywords indicating user intentions, and provides information of interest and related topics based on user data, allowing for seamless information retrieval during phone conversations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually input characters and search for information during phone calls, then they can obtain relevant information, but it consumes excessive time and reduces conversation efficiency
Solution Approach 1:
The system performs preliminary actions by automatically converting voice data to text and identifying keywords before the user needs information. This proactive approach extracts relevant information and presents topics without requiring manual input during the conversation flow.
Solution Approach 2:
The system serves itself by automatically processing voice data, converting it to text, extracting keywords, and generating relevant topics without user intervention. This self-service mechanism eliminates the need for manual character input and automated searching during phone calls.
2Productivity
If users focus on phone conversation without manual information search, then conversation fluency is maintained, but access to relevant information becomes difficult
Solution Approach 1:
The system acts as an intermediary between the user's voice conversation and information retrieval needs. It automatically processes spoken words, identifies key topics, and presents relevant information without interrupting the natural conversation flow, thus maintaining productivity while preventing information loss.
Solution Approach 2:
The system replaces the mechanical process of manual character input and searching with automated voice-to-text conversion and keyword extraction. This substitution maintains conversation efficiency by eliminating manual operations while ensuring relevant information is still accessed through automated processing.
3Ease of operation
If automated voice-to-text conversion and keyword extraction are implemented, then information retrieval is streamlined, but system complexity increases
Solution Approach 1:
The server implements multiple functions within a single system: voice-to-text conversion, keyword extraction, information retrieval, and topic generation. This multi-functionality approach streamlines information access convenience while managing complexity by consolidating operations into one universal processing platform.
Data Source
AI summary
A conversation topic providing method includes: converting voice data, of a conversation of a user who is on a phone, into text; selecting a keyword, indicating an intention of the user, from the text; obtaining information of interest with respect to the keyword; and determining topics relating to the keyword based on user information.