Data_Tang et al.2016_J. Acoust. Soc. Am..zip (3.63 GB)
Data for 'A metric for predicting binaural speech intelligibility in stationary noise and competing speech maskers'
dataset
posted on 2016-10-05, 08:14 authored by Yan Tang, Martin Cooke, Bruno M. Fazenda, Trevor John CoxTrevor John CoxThis repository contains the MATLAB code and experiment stimuli that were used to elicit listener responses of speech intelligibility in noisy conditions, presented in the following work:
Tang, Y., Cooke, M., Fazenda, B. M., and Cox, T. J. (2016). "A metric for predicting binaural speech intelligibility in stationary noise and competing speech maskers," Journal of the Acoustical Society of America, 140(3), 1858-1870.