Algorithms For Improved Sinusoidal Track Onset Localisation

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Title Algorithms For Improved Sinusoidal Track Onset Localisation
Author Marks, Stuart Keith; Gonzalez, Ruben
Publication Title IASTED Signal and Image Processing Conference Proceeding
Editor M.H.Hamza
Year Published 2004
Place of publication Calgary, Canada
Publisher ACTA Press,
Abstract The sinusoidal model is a key component in many speech and audio coding applications, however its reconstruction quality is severely limited by its poor time resolution, and is unable to capture the onset of sinusoidal partials in a signal accurately. This paper proposes two algorithms which improve the onset localisation of sinusoidal tracks. While significant improvement can be achieved by using multiresolution sinusoidal analysis to manage the time/frequency resolution tradeoff in individual frequency-subbands, multiresolution sinusoidal analysis cannot improve upon the inherent time/frequency resolution of the Discrete Fourier Transform. The proposed algorithms work in collaboration with multiresolution sinusoidal analysis to improve the time resolution of the sinusoidal model. This paper will show that these algorithms drastically reduce the average onset error, without adjusting the frequency resolution of the sinusoidal model.
Peer Reviewed Yes
Published Yes
Alternative URI http://www.actapress.com/Abstract.aspx?paperId=18136
Copyright Statement Copyright 2004 IASTED and ACTA Press. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
ISBN 088986-442X
Conference name 6th IASTED International Conference on Signal and Image Processing
Location Hawaii, USA
Date From 2004-08-23
Date To 2004-08-25
URI http://hdl.handle.net/10072/2096
Date Accessioned 2005-04-04
Date Available 2014-04-24T02:12:39Z
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject PRE2009-Science & Technology
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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