Auditory spectral summarisation for audio signals with musical applications

Ferguson, S; Cabrera, D

Auditory spectral summarisation for audio signals with musical applications

Ferguson, S

Cabrera, D

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009, 2009, pp. 567 - 572
Issue Date:: 2009-12-01

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Field	Value	Language
dc.contributor.author	Ferguson, S https://orcid.org/0000-0003-1853-3000	en_US
dc.contributor.author	Cabrera, D	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009, 2009, pp. 567 - 572	en_US
dc.identifier.isbn	9780981353708	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32928
dc.description.abstract	Methods for spectral analysis of audio signals and their graphical display are widespread. However, assessing music and audio in the visual domain involves a number of challenges in the translation between auditory images into mental or symbolically represented concepts. This paper presents a spectral analysis method that exists entirely in the auditory domain, and results in an auditory presentation of a spectrum. It aims to strip a segment of audio signal of its temporal content, resulting in a quasi-stationary signal that possesses a similar spectrum to the original signal. The method is extended and applied for the purpose of music summarisation. © 2009 International Society for Music Information Retrieval.	en_US
dc.relation.ispartof	Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009	en_US
dc.title	Auditory spectral summarisation for audio signals with musical applications	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Kobe, Japan
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Methods for spectral analysis of audio signals and their graphical display are widespread. However, assessing music and audio in the visual domain involves a number of challenges in the translation between auditory images into mental or symbolically represented concepts. This paper presents a spectral analysis method that exists entirely in the auditory domain, and results in an auditory presentation of a spectrum. It aims to strip a segment of audio signal of its temporal content, resulting in a quasi-stationary signal that possesses a similar spectrum to the original signal. The method is extended and applied for the purpose of music summarisation. © 2009 International Society for Music Information Retrieval.

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http://hdl.handle.net/10453/32928