Music Database Construction via Automated Impression Word Association
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing music information database construction methods that use impression words as search conditions are labor-intensive and costly, requiring human subjects to listen to and evaluate a large number of music pieces, making it impractical for databases with a vast collection of music pieces and cumbersome for updates.
Innovation Solution
A database constructing apparatus that automatically collects and registers impression words from various online sources, such as Web sites, using a communication network to associate music pieces with impression words, reducing the need for human evaluation and enabling efficient database construction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human subjects are used to listen to and evaluate music pieces to select impression words, then the database can be constructed with accurate impression word associations, but the labor cost and time required become enormous
Solution Approach 1:
The patent replaces the mechanical human evaluation process with an automated information processing system. The database construction apparatus automatically collects impression words from multiple information sources, associates them with music pieces through automated processing, and constructs the database without requiring human subjects to listen to and evaluate each music piece, thereby resolving the contradiction between accuracy and efficiency
Solution Approach 2:
The system enables self-service database construction by automatically gathering impression words from external information sources and processing them through predefined association rules. The apparatus independently performs data collection, processing, and database construction without requiring human intervention for each music piece evaluation, thus improving productivity while maintaining association accuracy
2Adaptability or versatility
If human subjects evaluate music pieces to construct the database, then the database can be updated with new music pieces, but the process becomes extremely cumbersome and troublesome
Solution Approach 1:
The patent replaces manual human evaluation with an automated information processing system that can continuously and easily update the database with new music pieces. The apparatus automatically collects impression words from information sources and associates them with new music pieces without requiring human subjects to listen to and evaluate each new addition, making the update process simple and efficient
Solution Approach 2:
The system performs preliminary automated processing of impression words from multiple information sources before database update is needed. By pre-establishing the automated collection and association mechanism, the system can quickly adapt to new music pieces without requiring cumbersome human evaluation processes, thus improving both adaptability and ease of operation
3Quantity of substance
If a large number of music pieces are stored in the database, then the database becomes comprehensive and useful, but the labor cost for constructing it becomes enormous
Solution Approach 1:
The patent replaces expensive human evaluation labor with an automated information processing system that can handle large volumes of music pieces efficiently. The apparatus automatically collects impression words from multiple information sources and associates them with music pieces through automated processing, enabling the construction of comprehensive databases containing large numbers of music pieces without incurring enormous labor costs
Solution Approach 2:
The system uses a universal automated processing mechanism that can handle any music piece from various information sources through the same collection and association process. This multi-functional approach allows the database to grow comprehensively to include large numbers of music pieces while maintaining consistent, cost-effective construction processes
Data Source
AI summary
In a music information database, music information where music pieces and impression words representing impressions of the music pieces and usable as search words when any of the music pieces is to be searched for is registered for a plurality of music pieces. Information collection section collects, from among various information being provided by information source sites, information usable as music-piece-related search words. Registration section registers the words usable as music-piece-related search words, collected by the information collection section, into the database in association with particular music pieces. In this way, it is possible to construct a music information database which permits a music information search therethrough using impression words representing impressions of a music piece, at low cost without taking much time and labor.


