The ever-increasing density of computer storage devices has allowed the average user to store enormous quantities of multimedia content, and a large amount of this content is usually music. Current search techniques for musical content rely on meta-data tags which describe artist, album, year, genre, etc. Query-by-content systems, however, allow users to search based upon the actual acoustical content of the songs. Recent systems have mainly depended upon textual representations of the queries and targets in order to apply common string-matching algorithms and are often confined to a single query style (e.g., humming). These methods also lose much of the information content of the song which limits the ways in which a user may search. We present a query-by-content system which supports querying in several styles using a Self-Organizing Map as its basis. The results from testing our system show that it performs better than random orderings and is, therefore, a viable option for musical query-by-content.
College and Department
Physical and Mathematical Sciences; Computer Science
BYU ScholarsArchive Citation
Dickerson, Kyle B., "Musical Query-by-Content Using Self-Organizing Maps" (2009). Theses and Dissertations. 1795.
music information retrieval, query-by-content, self-organizing maps, query-by-humming, music, search