Data for 'A metric for predicting binaural speech intelligibility in stationary noise and competing speech maskers'
datasetposted on 05.10.2016 by Yan Tang, Martin Cooke, Bruno M. Fazenda, Trevor John Cox
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This 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.