Automated Q&A Collection from Conversation Audio
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Solution Overview
Problem
There is a demand for automatically creating and updating a question-and-answer collection based on lectures and commercial product information, which existing technologies have not effectively addressed.
Innovation Solution
A method involving voice analysis, word group analysis, question and answer creation, and obtaining a question-and-answer set using a computer, which extracts and arranges question parts and answer parts from conversations to create an automated question-and-answer collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual methods are used to create question-and-answer collections from lectures and conversations, then the quality and accuracy of the collection can be maintained, but the time consumption and labor requirements increase significantly
Solution Approach 1:
The patent replaces manual mechanical extraction and arrangement processes with automated voice analysis technology. The system uses voice recognition and natural language processing to automatically extract questions and answers from lecture recordings and conversations, eliminating the need for manual transcription and organization while significantly improving creation speed.
Solution Approach 2:
The system enables self-service automation where the lecture recording and conversation data automatically generate question-and-answer collections without human intervention. The voice analysis system autonomously identifies question patterns, extracts relevant information, and organizes content into structured Q&A formats, making the process self-sufficient.
2Productivity
If automated voice analysis is used to create question-and-answer collections, then the time consumption is reduced, but the accuracy and quality of extraction may deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms where extraction results are continuously refined based on voice recognition accuracy and contextual understanding. The voice analysis system learns from identified question patterns and adjusts its extraction criteria to improve accuracy while maintaining automated operation.
Solution Approach 2:
The patent introduces an intermediary processing layer between raw voice data and final Q&A output. This intermediary system uses natural language processing to understand context, identify question intents, and verify extracted answers, ensuring high accuracy while maintaining automation.
3Ease of manufacture
If simple keyword replacement methods are used for response generation, then the process is simple and fast, but the quality and naturalness of the generated responses deteriorate
Solution Approach 1:
The patent replaces simple keyword replacement mechanics with advanced voice analysis and natural language generation systems. Instead of merely substituting keywords, the system understands the contextual meaning of questions and generates natural, accurate responses based on the analyzed lecture content and conversation data.
Data Source
AI summary
[Problem] To provide a method capable of effectively creating and updating a question-and-answer collection by extracting and organizing a question part and an answer part from conversation. [Solution] This method for automatically creating a question-and-answer collection using a computer, causes the computer to execute: a speech analysis step for analyzing speech related to conversation and obtaining phonetic words that are words included in the conversation; a word group analysis step for analyzing which of a plurality of keywords the phonetic words correspond to; a question-and-answer creation step for creating a question and an answer to the question by using the phonetic words; and a question-and-answer acquisition step for obtaining questions and answers related to the keywords recorded in the question-and-answer collection, using the classified questions, the answers to the questions, and the keywords determined to correspond.