Listening for noise: An approach to percussive onset detection

Gifford, Toby M. & Brown, Andrew R. (2008) Listening for noise: An approach to percussive onset detection. In Wilkie, Sonia & Hood, Anthony (Eds.) Sound : Space - The Australasian Computer Music Conference, 13 July 2008, Sydeny.


This paper introduces a new onset detection algorithm for the extraction of percussive attack times from a musical audio signal. The crux of the technique is to search for patterns of increasing noise in the signal. We therefore refer to it as the Stochastic Onset Detection (SOD) technique. This technique is designed for use with complex audio signals consisting of both pitched and percussive instrumental sounds together, and aims to report solely on the timing of percussive attacks. In contrast to most onset detection algorithms it operates in the time domain and is very efficient; suiting our requirements for real-time detection. In this paper we describe our approach to onset detection, compare this with other approaches, outline our detection algorithm and provide preliminary results from musical trials to validate the algorithm’s effectiveness.

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ID Code: 14092
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: onset detection, music, audio, beat tracking
ISSN: 1448-7780
Subjects: Australian and New Zealand Standard Research Classification > STUDIES IN CREATIVE ARTS AND WRITING (190000) > PERFORMING ARTS AND CREATIVE WRITING (190400) > Musicology and Ethnomusicology (190409)
Divisions: Current > QUT Faculties and Divisions > Creative Industries Faculty
Copyright Owner: Copyright 2008 Toby M. Gifford and Andrew R. Brown
Deposited On: 17 Jul 2008 00:00
Last Modified: 29 Feb 2012 10:44

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