Acoustic Analysis of Music Albums

Acoustic Analysis of Music Albums

Kristoffer Jensen
ISBN13: 9781616928599|ISBN10: 161692859X|EISBN13: 9781616928612
DOI: 10.4018/978-1-61692-859-9.ch015
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MLA

Jensen, Kristoffer. "Acoustic Analysis of Music Albums." Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives, edited by Chia-Hung Wei and Yue Li, IGI Global, 2011, pp. 322-340. https://doi.org/10.4018/978-1-61692-859-9.ch015

APA

Jensen, K. (2011). Acoustic Analysis of Music Albums. In C. Wei & Y. Li (Eds.), Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives (pp. 322-340). IGI Global. https://doi.org/10.4018/978-1-61692-859-9.ch015

Chicago

Jensen, Kristoffer. "Acoustic Analysis of Music Albums." In Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives, edited by Chia-Hung Wei and Yue Li, 322-340. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-859-9.ch015

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Abstract

Most music is generally published in a cluster of songs, called an album, although many, if not most people enjoy individual songs, commonly called singles. This study proposes to investigate whether or not there is a reason for assembling and enjoying full albums. Two different approaches are undertaken in order to investigate this, both based on audio features, calculated from the music, and related to the common music dimensions rhythm, timbre and chroma. In the first experiment, automatic segmentation is done on full music albums. If the segmentation is done on song boundaries, which is to be expected, as different fade-ins and –outs are employed, then songs are seen as the homogenous units, while if the boundaries are found within songs, then other homogenous units also exist. A second experiment on music sorting by similarity reveals findings on the sorting complexity of music albums. If the sorting complexity is high, then the albums are unordered; otherwise the album is ordered with regards to the features. A discussion of the results of the evaluation of the segment boundaries and sorting complexity reveals interesting findings.

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