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The computational prediction of masking thresholds for ecologically valid interference scenarios.

Baykaner, K, Hummersone, C, Mason, R and Bech, S (2013) The computational prediction of masking thresholds for ecologically valid interference scenarios. J Acoust Soc Am, 133 (5).

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Auditory interference scenarios, where a listener wishes to attend to some target audio while being presented with interfering audio, are prevalent in daily life. The goal of developing an accurate computational model which can predict masking thresholds for such scenarios is still incomplete. While some sophisticated, physiologically inspired, masking prediction models exist, they are rarely tested with ecologically valid programs (such as music and speech). In order to test the accuracy of model predictions human listener data is required. To that end a masking threshold experiment was conducted for a variety of target and interferer programs. The results were analyzed alongside predictions made by the computational auditory signal processing and prediction model described by Jepsen et al. (2008). Masking thresholds were predicted to within 3 dB root mean squared error with the greatest prediction inaccuracies occurring in the presence of speech. These results are comparable to those of the model by Glasberg and Moore (2005) for predicting the audibility of time-varying sounds in the presence of background sounds, which otherwise represent the most accurate predictions of this type in the literature.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > School of Arts > Sound Recording
Authors :
Date : May 2013
Identification Number : 10.1121/1.4806022
Related URLs :
Additional Information : Copyright 2013 Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America. The following article appeared in J Acoust Soc Am 133(5) and may be found at
Depositing User : Symplectic Elements
Date Deposited : 11 Jun 2014 11:07
Last Modified : 11 Jun 2014 13:33

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