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Data for 'A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones'
datasetposted on 11.01.2018 by Yan Tang, Qingju Liu, Wenwu Wang, 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 stimuli that were used to elicit listener responses of speech intelligibility in noise, and the implementation of the main components of the proposed method
Tang, Y., Liu, Q., Wang, W. and Cox, T. J. (2017). "A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones", Speech Communication, 96, 116-128. https://doi.org/10.1016/j.specom.2017.12.005