Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms

Tang, Y; Hughes, RJ; Fazenda, BM; Cox, TJ

Abstract

A distortion-weighted glimpse proportion metric (BiDWGP) for predicting binaural speech intelligibility were evaluated in simulated anechoic and reverberant conditions, with and without a noise masker. The predictive performance of BiDWGP was compared to four reference binaural intelligibility metrics, which were extended from the Speech Intelligibility Index (SII) and the Speech Transmission Index (STI). In the anechoic sound field, BiDWGP demonstrated high accuracy in predicting binaural intelligibility for individual maskers (ρ ≥ 0.95) and across maskers (ρ ≥ 0.94). The reference metrics however performed less well in across-masker prediction (0.54 ≤ ρ ≤ 0.86) despite reasonable accuracy for individual maskers. In reverberant rooms, BiDWGP was more stable in all test conditions (ρ ≥ 0.87) than the reference metrics, which showed different predictive patterns: the binaural STIs were more robust for the stationary than for the fluctuating noise masker, whilst the binaural SII displayed the opposite behaviour. The study shows that the new BiDWGP metric can provide similar or even more robust predictive power than the current standard metrics

Citation

Tang, Y., Hughes, R., Fazenda, B., & Cox, T. (2016). Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms. Speech Communication, 82, 26-37. https://doi.org/10.1016/j.specom.2016.04.003

• Journal Article Type: Article
• Acceptance Date: Apr 14, 2016
• Online Publication Date: May 28, 2016
• Publication Date: Sep 1, 2016
• Deposit Date: Apr 18, 2016
• Publicly Available Date: Jun 10, 2016
• Journal: Speech Communication
• Print ISSN: 0167-6393
• Publisher: Elsevier
• Volume: 82
• Pages: 26-37
• DOI: https://doi.org/10.1016/j.specom.2016.04.003
• Publisher URL: http://dx.doi.org/10.1016/j.specom.2016.04.003
• Related Public URLs: http://www.journals.elsevier.com/speech-communication/