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Objective prediction of the sound quality of music processed by an adaptive feedback canceller

Objective prediction of the sound quality of music processed by an adaptive feedback canceller
Objective prediction of the sound quality of music processed by an adaptive feedback canceller
Adaptive feedback cancellers in hearing aids can produce unpleasant sounding distortion artefacts (entrainment) in response to periodic inputs, including music. Reliable objective metrics that predict user-perceived distortion could significantly reduce development costs for new hearing aids. The aim of this study was to gain insight into the ability of different objective metrics to predict subjective ratings of the sound quality of music processed by adaptive feedback cancellation. The metrics tested consisted of perceptual measures from established audio quality models (including PEAQ, PEMO-Q and Rnonlin). Neural networks were used to map between the values of the perceptual measures and a subjective scale of perceived quality. Training data consisted of values of perceptual measures obtained from ten different excerpts of orchestral music processed by a simplified model of a hearing aid with an adaptive feedback canceller, and corresponding subjective ratings obtained from 27 normal hearing subjects. An optimal combination of perceptual measures to use as inputs to a network input was found using an extended Fourier amplitude sensitivity test (EFAST). Our results suggest that the most salient inputs to a multivariate model of measured quality ratings consist of perceptual measures related to spectral noise loudness, modulation differences between clean and processed signals, and correlation-based measurement of nonlinear distortion. The intraclass correlation between mean subjective ratings and the output of a network combining these perceptual measures was high (r=0.95), which compares favourably to results from previous studies of perceptual quality metrics
objective quality assessment, hearing aids, feedback cancellation, entrainment distortion
1558-7916
1734-1745
Manders, A.
ca3d3d93-274f-40aa-a623-b674c314dc10
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a
Bell, S.L.
91de0801-d2b7-44ba-8e8e-523e672aed8a
Manders, A.
ca3d3d93-274f-40aa-a623-b674c314dc10
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a
Bell, S.L.
91de0801-d2b7-44ba-8e8e-523e672aed8a

Manders, A., Simpson, D.M. and Bell, S.L. (2012) Objective prediction of the sound quality of music processed by an adaptive feedback canceller. IEEE Transactions on Audio, Speech and Language Processing, 20 (6), 1734-1745. (doi:10.1109/TASL.2012.2188513).

Record type: Article

Abstract

Adaptive feedback cancellers in hearing aids can produce unpleasant sounding distortion artefacts (entrainment) in response to periodic inputs, including music. Reliable objective metrics that predict user-perceived distortion could significantly reduce development costs for new hearing aids. The aim of this study was to gain insight into the ability of different objective metrics to predict subjective ratings of the sound quality of music processed by adaptive feedback cancellation. The metrics tested consisted of perceptual measures from established audio quality models (including PEAQ, PEMO-Q and Rnonlin). Neural networks were used to map between the values of the perceptual measures and a subjective scale of perceived quality. Training data consisted of values of perceptual measures obtained from ten different excerpts of orchestral music processed by a simplified model of a hearing aid with an adaptive feedback canceller, and corresponding subjective ratings obtained from 27 normal hearing subjects. An optimal combination of perceptual measures to use as inputs to a network input was found using an extended Fourier amplitude sensitivity test (EFAST). Our results suggest that the most salient inputs to a multivariate model of measured quality ratings consist of perceptual measures related to spectral noise loudness, modulation differences between clean and processed signals, and correlation-based measurement of nonlinear distortion. The intraclass correlation between mean subjective ratings and the output of a network combining these perceptual measures was high (r=0.95), which compares favourably to results from previous studies of perceptual quality metrics

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e-pub ahead of print date: 20 February 2012
Published date: August 2012
Keywords: objective quality assessment, hearing aids, feedback cancellation, entrainment distortion
Organisations: Human Sciences Group, Signal Processing & Control Grp

Identifiers

Local EPrints ID: 337782
URI: http://eprints.soton.ac.uk/id/eprint/337782
ISSN: 1558-7916
PURE UUID: 91a24e6f-b1dc-4117-8b50-00a2155ae41c
ORCID for D.M. Simpson: ORCID iD orcid.org/0000-0001-9072-5088

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Date deposited: 02 May 2012 15:16
Last modified: 23 Jul 2022 01:50

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Contributors

Author: A. Manders
Author: D.M. Simpson ORCID iD
Author: S.L. Bell

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