From macroscopic to microscopic glimpse-based models of intelligibility prediction

Cooke, M, Tang, Y and Toth, MA 2016, 'From macroscopic to microscopic glimpse-based models of intelligibility prediction' , Journal of the Acoustical Society of America, 139 (4) , p. 2187.

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Miller and Licklider's explorations of the intelligibility of temporally interrupted speech, and later studies extending their findings to the spectro-temporal plane, have shown how the twin factors of sparseness and redundancy confer a high degree of robustness on speech in noise. The current contribution addresses two questions. First, to what extent can quantitative estimates of supra-threshold unmasked speech account for average (macroscopic) intelligiblity across a range of speech styles and masking conditions? We examine how well glimpse-based objective intelligibility metrics predict listeners' speech recognition scores for natural and synthetic speech in the presence of stationary and fluctuating maskers, and demonstrate reduced correlations for competing sources with an informational masking component. The second question concerns which additional components, beyond speech glimpses, are required to make (microscopic) predictions of actual listener confusions at the level of individual noisy speech tokens. Using corpora of speech-in-noise misperceptions, we show that in many cases the source of listener confusions is the misallocation of information from the masker, suggesting that estimates of supra-threshold unmasked speech alone are insufficient to explain speech intelligibility in noise.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Journal or Publication Title: Journal of the Acoustical Society of America
Publisher: Acoustical Society of America
ISSN: 0001-4966
Funders: European Community 7th Framework Programme Marie Curie Initial Training Network
Depositing User: Y Tang
Date Deposited: 13 Jun 2016 08:50
Last Modified: 07 Jul 2016 09:24

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