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Audio Content Analysis

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Book cover Encyclopedia of Database Systems

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Recommended Reading

  1. Cai R, Lu L, Hanjalic A. Unsupervised content discovery in composite audio. In: Proceedings of the IEEE International Conference on Multimedia and Expo; 2005. p. 628–37.

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  2. Cai R, Lu L, Hanjalic A, Zhang H-J, Cai L-H. A flexible framework for key audio effects detection and auditory context inference. IEEE Trans Audio Speech Lang Process. 2006;14(3):1026–39.

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  3. Casey M, et al. Content-based music information retrieval: current directions and future challenges. In: Proceedings of the IEEE, Special Issue on Advances in Multimedia Information Retrieval. 2008;96(4):668–96.

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  5. Hanjalic A. Content-based analysis of digital video. Norwell: Kluwer; 2004.

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  7. Lu L, Cai R, Hanjalic A. Audio elements based auditory scene segmentation. Proc IEEE Int Conf Acoust Speech Signal Process. 2006;5:17–20.

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Author information

Authors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Lie Lu

  2. Delft University of Technology, Delft, The Netherlands

    Alan Hanjalic

Authors
  1. Lie Lu
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  2. Alan Hanjalic
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Corresponding author

Correspondence to Lie Lu .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. Dept. of Computer Science, New Jersey Inst. of Technology, University Heights, 7102, Newark, NJ, USA

    Vincent Oria

  2. Digital Content and Media Sciences ReseaMultimedia Information Research Division, National Institute of Informatics, Tokyo, Japan

    Shin'ichi Satoh

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© 2016 Springer Science+Business Media LLC

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Lu, L., Hanjalic, A. (2016). Audio Content Analysis. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_1528-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_1528-2

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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