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In order to evaluate the ability of sound field control methods to generate independent listening zones within domestic and automotive environments, it is useful to be able to predict, without listening tests, the accept- ability of auditory interference scenarios. It was considered likely that a relationship would exist between masking thresholds and acceptability thresholds, thus a listening test was carried out to gather acceptability thresholds to compare with existing masking data collected under identical listening conditions. An analysis of the data revealed that a linear regression model could be used to predict acceptability thresholds, from only masking thresholds, with RMSE = 2.6 dB and R = 0.86. The same linear regression model was used to predict acceptability thresholds but with masking threshold predictions as the input. The results had RMSE = 4.2 dB and R = 0.88.
Author (s): Baykaner, Khan; Hummersone, Christopher; Mason, Russell; Bech, Søren
Affiliation:
Bang & Olufsen, Struer, Denmark; University of Surrey, Guildford, Surrey, UK
(See document for exact affiliation information.)
Publication Date:
2013-09-06
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Session subject:
Psychoacoustics
Permalink: https://aes2.org/publications/elibrary-page/?id=16908
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Baykaner, Khan; Hummersone, Christopher; Mason, Russell; Bech, Søren; 2013; The Prediction of the Acceptability of Auditory Interference Based on Audibility [PDF]; Bang & Olufsen, Struer, Denmark; University of Surrey, Guildford, Surrey, UK; Paper 3-2; Available from: https://aes2.org/publications/elibrary-page/?id=16908
Baykaner, Khan; Hummersone, Christopher; Mason, Russell; Bech, Søren; The Prediction of the Acceptability of Auditory Interference Based on Audibility [PDF]; Bang & Olufsen, Struer, Denmark; University of Surrey, Guildford, Surrey, UK; Paper 3-2; 2013 Available: https://aes2.org/publications/elibrary-page/?id=16908
@article{baykaner2013the,
author={baykaner khan and hummersone christopher and mason russell and bech søren},
journal={journal of the audio engineering society},
title={the prediction of the acceptability of auditory interference based on audibility},
year={2013},
number={3-2},
month={september},}