A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones

Tang, Y, Liu, Q, Wang, W and Cox, TJ ORCID: 0000-0002-4075-7564 2017, 'A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones' , Speech Communication, 96 , pp. 116-128.

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution 4.0.

Download (1MB) | Preview
[img] PDF - Accepted Version
Restricted to Repository staff only

Download (635kB) | Request a copy

Abstract

A non-intrusive method is introduced to predict binaural speech intelligibility in noise directly from signals captured using a pair of microphones. The approach combines signal processing techniques in blind source separation and localisation, with an intrusive objective intelligibility measure (OIM). Therefore, unlike classic intrusive OIMs, this method does not require a clean reference speech signal and knowing the location of the sources to operate. The proposed approach is able to estimate intelligibility in stationary and fluctuating noises, when the noise masker is presented as a point or diffused source, and is spatially separated from the target speech source on a horizontal plane. The performance of the proposed method was evaluated in two rooms. When predicting subjective intelligibility measured as word recognition rate, this method showed reasonable predictive accuracy with correlation coefficients above 0.82, which is comparable to that of a reference intrusive OIM in most of the conditions. The proposed approach offers a solution for fast binaural intelligibility prediction, and therefore has practical potential to be deployed in situations where on-site speech intelligibility is a concern.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Journal or Publication Title: Speech Communication
Publisher: Elsevier
ISSN: 0167-6393
Related URLs:
Funders: Engineering and Physical Sciences Research Council (EPSRC)
Depositing User: A Johnson
Date Deposited: 12 Dec 2017 15:22
Last Modified: 18 Dec 2018 01:46
URI: http://usir.salford.ac.uk/id/eprint/44617

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)

Downloads

Downloads per month over past year