Data for 'A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones' Yan Tang Qingju Liu Wenwu Wang Trevor John Cox 10.17866/rd.salford.5306746.v1 https://salford.figshare.com/articles/dataset/Data_for_A_non-intrusive_method_for_estimating_binaural_speech_intelligibility_from_noise-corrupted_signals_captured_by_a_pair_of_microphones_/5306746 <div>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</div><div><br></div><div>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</div> 2018-01-11 08:45:10 objective intelligibility metric non-intrusive method binaural intelligibility noise glimpsing Neural network Blind Source Separation Blind Source Localisation microphones Linguistic Processes (incl. Speech Production and Comprehension) Signal Processing