Music Track Similarity Search Using Partial Temporal Transitions
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Solution Overview
Problem
Existing music data processing technologies are limited to searching for similarity in entire search target portions, failing to account for the temporal change or transition within music tracks.
Innovation Solution
An information processing device and method that enable similarity search for partial tracks within music tracks, utilizing self-supervised learning and a learned model to identify music tracks with similar temporal changes, allowing for enhanced search capabilities through concat and mean similarity search processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If similarity search is performed on entire music tracks only, then the search is simple and fast, but the search range is limited and cannot capture temporal changes within tracks
Solution Approach 1:
The patent divides the music track into multiple partial tracks (segments) and performs similarity search on these segments rather than only on entire tracks. This segmentation enables the system to capture temporal changes and local similarities within tracks, thereby widening the search range while maintaining manageable processing complexity through efficient segment-based comparison.
2Measurement precision
If similarity search considers temporal change of partial tracks, then the search accuracy and quality improve, but the processing time and computational load increase
Solution Approach 1:
The patent pre-processes music tracks by extracting temporal change features and creating similarity indices before actual search operations. This preliminary action stores processed information in a structured format, enabling fast retrieval during search operations without requiring full re-processing of temporal characteristics, thus improving accuracy while reducing processing time during actual search.
3Adaptability or versatility
If the system processes uploaded music tracks for similarity search, then the functionality is enhanced, but the system complexity and data handling requirements increase
Solution Approach 1:
The patent designs a universal processing framework that handles multiple functions: it processes uploaded music tracks, extracts temporal change features, performs similarity search, and returns results through a unified system architecture. This multi-functional design enhances functionality while managing system complexity by using a single coherent processing pipeline rather than separate specialized systems.
Data Source
AI summary
An information processing device includes: a user interface unit that receives selection of a music track; and a processing unit that executes similarity search processing for a partial track that is at least a part of the music track selected, in which the similarity search processing includes first similarity search processing of searching for another music track including a partial track whose temporal change is similar to that of the partial track of the music track selected.