Abstract:
In the IT age where private music
collections contain thousands of songs and
commercial music catalogs consist of millions of
songs, music recommender systems become more and
more important 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 approach is to
segment those audio signals and determined
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 audio signal
having sparse nature is accomplished by Matching
Pursuit. In order to matching a candidate segment
with the query segment, the audio signal similarity
measure is performed by Spatial Pyramid Matching.
