Recognition of Note Onsets in Digital Music Using Semitone Bands

  • Antonio Pertusa
  • Anssi Klapuri
  • José M. Iñesta
Conference paper

DOI: 10.1007/11578079_90

Volume 3773 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Pertusa A., Klapuri A., Iñesta J.M. (2005) Recognition of Note Onsets in Digital Music Using Semitone Bands. In: Sanfeliu A., Cortés M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg

Abstract

A simple note onset detection system for music is presented in this work. To detect onsets, a 1/12 octave filterbank is simulated in the frequency domain and the band derivatives in time are considered. The first harmonics of a tuned instrument are close to the center frequency of these bands and, in most instruments, these harmonics are those with the highest amplitudes. The goal of this work is to make a musically motivated system which is sensitive on onsets in music but robust against the spectrum variations that occur at times that do not represent onsets. Therefore, the system tries to find semitone variations, which correspond to note onsets. Promising results are presented for this real time onset detection system.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Antonio Pertusa
    • 1
  • Anssi Klapuri
    • 2
  • José M. Iñesta
    • 1
  1. 1.Departamento de Lenguajes y Sistemas InformáticosUniversidad de AlicanteSpain
  2. 2.Signal Processing LaboratoryTampere University of TechnologyFinland