Music Searching and Browsing using Time-frequency Dictionaries

Abstract

Nowadays, music searching and browsing are becoming very important as the huge amount of music are accessible over the Internet. Music recommender systems are essential especially for searching and browsing music catalogs. In this paper, retrieving the required information from acoustic music signal in an efficient way is considered. The system is to determine similarities among songs, particularly, a piece of input music signal compared with storage music song’s signal into the database and then to retrieve the similar song. Representing the music signal having sparse nature is accomplished by Matching Pursuit with time-frequency dictionaries. In order to matching a candidate segment with the query segment, the music signal similarity measure is performed by Spatial Pyramid Matching.