A Variable Step Size Improved Multiband-Structured Subband Adaptive Feedback Cancellation Scheme for Hearing Aids

Pradhan, S; Qiu, X; Ji, J

A Variable Step Size Improved Multiband-Structured Subband Adaptive Feedback Cancellation Scheme for Hearing Aids

Pradhan, S Qiu, X Ji, J

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings, 2020, pp. 681-685
Issue Date:: 2020-12-07

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Field	Value	Language
dc.contributor.author	Pradhan, S
dc.contributor.author	Qiu, X
dc.contributor.author	Ji, J https://orcid.org/0000-0003-3280-5463
dc.date	2020-12-07
dc.date.accessioned	2021-06-14T23:01:36Z
dc.date.available	2021-06-14T23:01:36Z
dc.date.issued	2020-12-07
dc.identifier.citation	2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings, 2020, pp. 681-685
dc.identifier.isbn	9789881476883
dc.identifier.issn	2640-009X
dc.identifier.issn	2640-0103
dc.identifier.uri	http://hdl.handle.net/10453/149512
dc.description.abstract	Acoustic feedback degrades the sound quality and limits the maximum stable gain of modern open fitting behind the ear hearing aids. The standard adaptive feedback cancellation approach results in a biased estimation of the feedback path. Despite having several bias reduction methods, the convergence behaviour of the feedback canceller is deteriorated due to the highly correlated input signals such as speech and music. This paper proposes an improved delayless multiband-structured subband adaptive feedback cancellation scheme, which can be considered as a generalized form of the normalized least mean square algorithm, the affine projection algorithm and the multiband-structured subband algorithm. Both the prediction error method and frequency shifting are incorporated in the proposed scheme to reduce the bias. The improved proportionate technique along with a non-parametric variable step size technique is further developed to provide faster convergence and tracking rates. Simulation demonstrates improved transient and steady-state behaviour, improved tracking rate and enhanced speech quality.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings
dc.relation.ispartof	Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Variable Step Size Improved Multiband-Structured Subband Adaptive Feedback Cancellation Scheme for Hearing Aids
dc.type	Conference Proceeding
utslib.location.activity	New Zealand
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 Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-06-14T23:01:35Z
pubs.finish-date	2020-12-10
pubs.publication-status	Published
pubs.start-date	2020-12-07

Abstract:

Acoustic feedback degrades the sound quality and limits the maximum stable gain of modern open fitting behind the ear hearing aids. The standard adaptive feedback cancellation approach results in a biased estimation of the feedback path. Despite having several bias reduction methods, the convergence behaviour of the feedback canceller is deteriorated due to the highly correlated input signals such as speech and music. This paper proposes an improved delayless multiband-structured subband adaptive feedback cancellation scheme, which can be considered as a generalized form of the normalized least mean square algorithm, the affine projection algorithm and the multiband-structured subband algorithm. Both the prediction error method and frequency shifting are incorporated in the proposed scheme to reduce the bias. The improved proportionate technique along with a non-parametric variable step size technique is further developed to provide faster convergence and tracking rates. Simulation demonstrates improved transient and steady-state behaviour, improved tracking rate and enhanced speech quality.

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http://hdl.handle.net/10453/149512