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.