Multiple scale music segmentation using rhythm, timbre, and harmony

Abstract

The segmentation of music into intro-chorus-verse-outro,and similar segments, is a difficult topic. A method for performing automatic segmentation based on features related to rhythm, timbre, and harmony is presented, and compared,between the features and between the features and manual segmentation of a database of 48 songs. Standard information retrieval performance measures are used in the comparison,and it is shown that the timbre-related feature performs best. Copyright © 2007 Hindawi Publishing Corporation. All rights reserved.