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Music Content Analysis in MP3 Compressed Domain

Music Content Analysis in MP3 Compressed Domain

Antonello D’Aguanno
Copyright: © 2011 |Pages: 21
ISBN13: 9781616928599|ISBN10: 161692859X|EISBN13: 9781616928612
DOI: 10.4018/978-1-61692-859-9.ch014
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MLA

D’Aguanno, Antonello. "Music Content Analysis in MP3 Compressed Domain." Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives, edited by Chia-Hung Wei and Yue Li, IGI Global, 2011, pp. 301-321. https://doi.org/10.4018/978-1-61692-859-9.ch014

APA

D’Aguanno, A. (2011). Music Content Analysis in MP3 Compressed Domain. In C. Wei & Y. Li (Eds.), Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives (pp. 301-321). IGI Global. https://doi.org/10.4018/978-1-61692-859-9.ch014

Chicago

D’Aguanno, Antonello. "Music Content Analysis in MP3 Compressed Domain." In Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives, edited by Chia-Hung Wei and Yue Li, 301-321. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-859-9.ch014

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Abstract

Nowadays more and more audio contents are stored in compressed formats. Especially MP3 music has become very popular with the availability of powerful computation and wide bandwidth connectivity. So that, this chapter will be devoted to present techniques and algorithms, dealing with compressed audio, aimed at content analysis. Since content analysis in compressed domain is an innovative field of applications, the literature review will be extended to methods that extract music content from MP3, even if the algorithms are not focused on music information retrieval. In this chapter, the authors focus on a number of different algorithms dealing with common tasks of the MIR field such as tempo induction, tempo tracking, and automatic music synchronization. They will present an overview of the MusicXML, and IEEE1599 language to represent score and synchronization results, because they have decided to use those formats to represent the score in their synchronization algorithm. The chapter will end showing applications, conclusions, and future works in the field of direct content analysis in compressed domain.

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