A glimpse-based approach for predicting binaural intelligibility with single and multiple maskers in anechoic conditions

Tang, Y, Cooke, M, Fazenda, BM ORCID: https://orcid.org/0000-0002-3912-0582 and Cox, TJ ORCID: https://orcid.org/0000-0002-4075-7564 2015, A glimpse-based approach for predicting binaural intelligibility with single and multiple maskers in anechoic conditions , in: Interspeech 2015, 05/09/2015, Dresden, Germany.

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Abstract

A distortion-weighted glimpsing metric developed for estimating monaural speech intelligibility is extended to predict binaural speech intelligibility in noise. Two aspects of binaural listen- ing, the better ear effect and the binaural advantage, are taken into account in the new metric, which predicts intelligibility using monaural target and masker signals and their location, and is therefore able to provide intelligibility estimates in situations where binaural signals are not readily available. Perceptual listening experiments were conducted to evaluate the predictive power of the proposed metric for speech in the presence of single and multiple maskers in anechoic conditions, for a range of source/masker azimuth combinations. The binaural metric is highly correlated (ρ > 0.9) with listeners’ performance in all conditions tested, but overestimates intelligibility somewhat in conditions where multiple maskers are present and the target speech source location is unknown.

Item Type: Conference or Workshop Item (Paper)
Additional Information: 16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015; International Congress CenterDresden; Germany; 6 September 2015 through 10 September 2015; Code 118697
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Proceedings of the Annual Conference of the International Speech Communication Association
Publisher: International Speech and Communication Association
ISSN: 2308-457X
Funders: Engineering and Physical Sciences Research Council (EPSRC)
Depositing User: Y Tang
Date Deposited: 23 Nov 2015 16:00
Last Modified: 15 Feb 2022 19:55
URI: https://usir.salford.ac.uk/id/eprint/37106

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