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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| Format: | Article |
| Language: | English |
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SpringerOpen
2007-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://asp.eurasipjournals.com/content/2007/073205 |
| _version_ | 1831613876989329408 |
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| author | Jensen Kristoffer |
| author_facet | Jensen Kristoffer |
| author_sort | Jensen Kristoffer |
| collection | DOAJ |
| 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> |
| first_indexed | 2024-12-18T19:17:15Z |
| format | Article |
| id | doaj.art-9e641f4c6a764a38a86c67d641647ebf |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-18T19:17:15Z |
| publishDate | 2007-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-9e641f4c6a764a38a86c67d641647ebf2022-12-21T20:56:06ZengSpringerOpenEURASIP 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 |
| spellingShingle | Jensen Kristoffer Multiple Scale Music Segmentation Using Rhythm, Timbre, and Harmony EURASIP Journal on Advances in Signal Processing |
| title | 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_short | Multiple Scale Music Segmentation Using Rhythm, Timbre, and Harmony |
| title_sort | multiple scale music segmentation using rhythm timbre and harmony |
| url | http://asp.eurasipjournals.com/content/2007/073205 |
| work_keys_str_mv | AT jensenkristoffer multiplescalemusicsegmentationusingrhythmtimbreandharmony |