PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Recognition of note onsets in digital music using semitone bands
Antonio Pertusa and José Iñesta
Lecture Notes in Computer Science Volume 3773, pp. 869-879, 2005. ISSN 0302-9743

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 harmo\-nics 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.

PDF - PASCAL Members only - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Speech
Information Retrieval & Textual Information Access
ID Code:1547
Deposited By:José Iñesta
Deposited On:28 November 2005