A simple note onset detection system for music is presented in this work. To detect onsets, a 1/12 octave interbank 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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Pertusa, A., Klapuri, A., & Iñesta, J. M. (2005). Recognition of note onsets in digital music using semitone bands. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3773 LNCS, pp. 869–879). https://doi.org/10.1007/11578079_90
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