Recognition of Note Onsets in Digital Music Using Semitone Bands

  • Antonio Pertusa
  • Anssi Klapuri
  • José M. Iñesta
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3773)

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.

Keywords

Actual Onset Onset Detection Octave Band Voice Behaviour Music Information Retrieval 
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 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

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