Glover, John C. and Lazzarini, Victor and Timoney, Joseph (2011) Real-Time Detection of Musical Onsets with Linear Prediction and Sinusoidal Modelling. EURASIP Journal on Advances in Signal Processing (68). pp. 1-13. ISSN 1687-6172

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Abstract

Real-time musical note onset detection plays a vital role in many audio analysis processes, such as score following, beat detection and various sound synthesis by analysis methods. This paper provides a review of some of the most commonly used techniques for real-time onset detection. We suggest ways to improve these techniques by incorporating linear prediction, as well as presenting a novel algorithm for real-time onset detection using sinusoidal modelling. We provide comprehensive results for both the detection accuracy and the computational performance of all of the described techniques, evaluated using Modal, our new open source library for musical onset detection, which comes with a free database of samples with hand-labelled note onsets.

Item Type:	Article
Additional Information:	The definitive version of this article is available at doi:10.1186/1687-6180-2011-68
Keywords:	Real-Time; Detection; Musical Onsets; Linear Prediction; Sinusoidal Modelling;
Academic Unit:	Faculty of Arts,Celtic Studies and Philosophy > Music Faculty of Science and Engineering > Computer Science
Item ID:	4204
Depositing User:	Joseph Timoney
Date Deposited:	19 Feb 2013 15:52
Journal or Publication Title:	EURASIP Journal on Advances in Signal Processing
Publisher:	Hindawi Publishing Corporation
Refereed:	Yes
URI:	http://asp.eurasipjournals.com/
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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