Abstract:
In this paper, content-based music similarity
function from acoustic music signal in an
efficient way is considered. This function is to
determine similarities among songs,
particularly, a piece of input music signal
compared with storage music song’s signal into
the database and retrieve a whole music song
according to the input query. Representing the
music signal having sparse nature is
accomplished by Matching Pursuit with timefrequency dictionaries. In order to match a
candidate segment with the query segment, the
music signal similarity measure is performed by
Spatial Pyramid Matching. Evaluation results on
music similarity illustrate that our music
similarity function is better than such previous
approaches
