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Intelligent Information Systems 2001 pp 57–66Cite as

Technologies for Sound Database Indexing: Musical Instrument Classification Methods

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 10))

Abstract

Description of various types of multimedia content, including audio tracks, is the main objective of MPEG-7 standard, which is being currently developed. Automatic extraction of features (descriptors) is indispensable to fully exploit this standard. In this paper, we revue and compare main techniques used for automatic classification of musical instrument sounds. These techniques usually require selection of singular sounds as a preprocessing; therefore, segmentation techniques for audio data are also necessary.

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References

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Author information

Authors and Affiliations

  1. Polish — Japanese Institute of Information Technology, Warsaw, Poland

    Alicja A. Wieczorkowska

Authors
  1. Alicja A. Wieczorkowska
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Editor information

Editors and Affiliations

  1. Polish Academy of Sciences, ul. Ordona 21, 01-237, Warsaw, Poland

    Mieczysław A. Kłopotek , Maciej Michalewicz  & Sławomir T. Wierzchoń ,  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Wieczorkowska, A.A. (2001). Technologies for Sound Database Indexing: Musical Instrument Classification Methods. In: Kłopotek, M.A., Michalewicz, M., Wierzchoń, S.T. (eds) Intelligent Information Systems 2001. Advances in Intelligent and Soft Computing, vol 10. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1813-0_5

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  • DOI: https://doi.org/10.1007/978-3-7908-1813-0_5

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1407-1

  • Online ISBN: 978-3-7908-1813-0

  • eBook Packages: Springer Book Archive

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