Multiple Scale Music Segmentation Using Rhythm, Timbre, and Harmony
<p/> <p>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 a...
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2007-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://asp.eurasipjournals.com/content/2007/073205 |
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doaj-9e641f4c6a764a38a86c67d641647ebf2020-11-24T20:53:48ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-0120071073205Multiple Scale Music Segmentation Using Rhythm, Timbre, and HarmonyJensen Kristoffer<p/> <p>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.</p> http://asp.eurasipjournals.com/content/2007/073205 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jensen Kristoffer |
spellingShingle |
Jensen Kristoffer Multiple Scale Music Segmentation Using Rhythm, Timbre, and Harmony EURASIP Journal on Advances in Signal Processing |
author_facet |
Jensen Kristoffer |
author_sort |
Jensen Kristoffer |
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 |
<p/> <p>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.</p> |
url |
http://asp.eurasipjournals.com/content/2007/073205 |
work_keys_str_mv |
AT jensenkristoffer multiplescalemusicsegmentationusingrhythmtimbreandharmony |
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1716796168320581632 |