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.
| Original language | English |
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| Journal | Eurasip Journal on Advances in Signal Processing |
| Volume | 2007 |
| Number of pages | 11 |
| ISSN | 1687-6172 |
| Publication status | Published - 2007 |