Multiple Scale Music Segmentation Using Rhythm, Timbre, and Harmony

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 segmentati...

Full description

Bibliographic Details
Main Author: Kristoffer Jensen
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2007/73205
id doaj-5850b03173e5499bb11322c16e27c326
record_format Article
spelling doaj-5850b03173e5499bb11322c16e27c3262020-11-25T00:55:04ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-01200710.1155/2007/73205Multiple Scale Music Segmentation Using Rhythm, Timbre, and HarmonyKristoffer JensenThe 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. http://dx.doi.org/10.1155/2007/73205
collection DOAJ
language English
format Article
sources DOAJ
author Kristoffer Jensen
spellingShingle Kristoffer Jensen
Multiple Scale Music Segmentation Using Rhythm, Timbre, and Harmony
EURASIP Journal on Advances in Signal Processing
author_facet Kristoffer Jensen
author_sort Kristoffer Jensen
title Multiple Scale Music Segmentation Using Rhythm, Timbre, and Harmony
title_short Multiple Scale Music Segmentation Using Rhythm, Timbre, and Harmony
title_full Multiple Scale Music Segmentation Using Rhythm, Timbre, and Harmony
title_fullStr Multiple Scale Music Segmentation Using Rhythm, Timbre, and Harmony
title_full_unstemmed Multiple Scale Music Segmentation Using Rhythm, Timbre, and Harmony
title_sort multiple scale music segmentation using rhythm, timbre, and harmony
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2007-01-01
description 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.
url http://dx.doi.org/10.1155/2007/73205
work_keys_str_mv AT kristofferjensen multiplescalemusicsegmentationusingrhythmtimbreandharmony
_version_ 1725232273601593344