Automatic Recognition of Musical Phrases

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


The automatic recognition of musical phrase patterns requires some preliminary stages, such as acquisition of musical fragments by means of a MIDI keyboard, storage of MIDI-encoded musical phrases, MIDI data conversion, parametrization of musical phrases, and discretization of parameter values in the case of rule-based decision systems. These tasks result in the creation of musical phrase databases containing feature vectors. The recognition process includes training and classification phases. All of these phases are to be described on the basis of experiments performed by the author. The results shown here aim at underlining the most general problems which are met while analyzing a musical phrase, form or style.


Feature Vector Neutral Point Recognition Score Automatic Recognition Absolute Pitch 
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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