Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Multiple Scale Music Segmentation | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 73205 11 pages doi 2007 73205 Research Article Multiple Scale Music Segmentation Using Rhythm Timbre and Harmony Kristoffer Jensen Department ofMedialogy Aalborg University Esbjerg Niels Bohrs Vej 6 Esbjerg 6700 Denmark Received 30 November 2005 Revised 27 August 2006 Accepted 27 August 2006 Recommended by Ichiro Fujinaga 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. 1. INTRODUCTION Segmentation has a perceptual and subjective nature. Manual segmentation can be due to different attributes of music such as rhythm timbre or harmony. Measuring similarity between music segments is a fundamental problem in computational music theory. In this work automatic music segmentation is performed based on three different features that are calculated so as to be related to the perception of rhythm timbre and harmony. Segmentation of music has many applications such as music information retrieval copyright infringement resolution fast music navigation and repetitive structure finding. In particular the navigation has been a key motivation in this work for possible inclusion in the mixxx 1 DJ simulation software. Another possibility is the use of the automatic segmentation for music recomposition 2 . In addition to this the visualization of the rhythm timbre and harmony related features is believed to be a useful tool for computer-aided music analysis. Music segmentation is a popular topic in .
