Music Content Analysis in MP3 Compressed Domain-Reference-Cited by-同舟云学术

Music Content Analysis in MP3 Compressed Domain

Published: Issue: Volume: Page:301-321
ISSN:
Container-title:Machine Learning Techniques for Adaptive Multimedia Retrieval
language:
Short-container-title:

Author:

D’Aguanno Antonello¹

Affiliation:

1. Università degli Studi di Milano, Italy

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.

Publisher

IGI Global

Reference43 articles.

1. Allen, P., & Dannenberg, R. (1990). Tracking Musical Beats in Real Time. In ICMC, Glasgow 1990 Proceedings, International Computer Music Association, (pp. 140-143).

2. Alonso, M., David, B., & Richard, G. (2004). Tempo and beat estimation of musical signals. In Proc. Int. Conf. Music Information Retrieval, (pp. 158-163).

3. Arifi, V., Clausen, M., Kurth, F., & Muller, M. (2003). Automatic Synchronization of Music Data in Score-, MIDI-and PCM-Format. In 4th International Conference on Music Information Retrieval, ISMIR 2003.

4. Automatic Synchronization of Musical Data: A Mathematical Approach;V.Arifi;Computing in Musicology,2004

5. Baraté, A., Haus, G., Ludovico, L. A., & Vercellesi, G. (2005). MXDemo: a Case Study about Audio, Video, and Score Synchronization. In Proceedings of IEEE Conference on Automatic Production of Cross Media Content for Multi-channel Distribution (AXMEDIS), (pp. 45-52).