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 Towards Structural Analysis of Audio Recordings in the Presence of Musical Variations | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 89686 18 pages doi 2007 89686 Research Article Towards Structural Analysis of Audio Recordings in the Presence of Musical Variations Meinard Muller and Frank Kurth Department of Computer Science III University of Bonn Romerstrafe 164 53117 Bonn Germany Received 1 December 2005 Revised 24 July 2006 Accepted 13 August 2006 Recommended by Ichiro Fujinaga One major goal of structural analysis of an audio recording is to automatically extract the repetitive structure or more generally the musical form of the underlying piece of music. Recent approaches to this problem work well for music where the repetitions largely agree with respect to instrumentation and tempo as is typically the case for popular music. For other classes of music such as Western classical music however musically similar audio segments may exhibit significant variations in parameters such as dynamics timbre execution of note groups modulation articulation and tempo progression. In this paper we propose a robust and efficient algorithm for audio structure analysis which allows to identify musically similar segments even in the presence of large variations in these parameters. To account for such variations our main idea is to incorporate invariance at various levels simultaneously we design a new type of statistical features to absorb microvariations introduce an enhanced local distance measure to account for local variations and describe a new strategy for structure extraction that can cope with the global variations. Our experimental results with classical and popular music show that our algorithm performs successfully even in the presence of significant musical variations. Copyright 2007 M. Muller and F. Kurth. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the .
