Automatic Classification of Musical Instrument Sounds

  • Boz̊ena Kostek
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 31)


Generally speaking, no real instrument produces an accurate repetition of the same basic pattern. It turns out that these changes in microscopic scale are significant in indicating the nature of an instrument [58]. Both the frequency- and time-domain representations of the typical steady state of an instrument are difficult to obtain, and are moreover not as informative as one might expect. Thus, creating a data base that consists of musical sounds requires a great deal of concern, remembering that both the way of playing and recording method may cause differences in a analyzed sound.


Feature Vector Musical Instrument Automatic Classification Recognition Score Discretization Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Boz̊ena Kostek
    • 1
  1. 1.Sound Engineering Department, Faculty of Electronics, Telecommunications & InformaticsTechnical University of GdańskGdańskPoland

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