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1
Dataset of British English speech recordings for psychoacoustics and speech processing research ...
Cox, Trevor John; Graetzer, Simone; Akeroyd, Michael A. - : University of Salford, 2022
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2
Dataset of British English speech recordings for psychoacoustics and speech processing research ...
Cox, Trevor John; Graetzer, Simone; Akeroyd, Michael A. - : University of Salford, 2022
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3
Dataset of British English speech recordings for psychoacoustics and speech processing research ...
Cox, Trevor John; Graetzer, Simone; Akeroyd, Michael A. - : University of Salford, 2022
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4
Dataset of British English speech recordings for psychoacoustics and speech processing research ...
Cox, Trevor John; Graetzer, Simone; Akeroyd, Michael A. - : University of Salford, 2021
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5
Data for 'Automatic speech-to-background ratio selection to maintain speech intelligibility in broadcasts using an objective intelligibility metric' ...
Tang, Yan; Fazenda, Bruno M.; Cox, Trevor John. - : University of Salford, 2018
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6
Data for 'A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones' ...
Tang, Yan; Qingju Liu; Wenwu Wang. - : University of Salford, 2018
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7
Data for 'A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones' ...
Tang, Yan; Qingju Liu; Wenwu Wang; Cox, Trevor John. - : University of Salford, 2018
Abstract: 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 ...
Keyword: 170204 Linguistic Processes incl. Speech Production and Comprehension; 90609 Signal Processing; FOS Electrical engineering, electronic engineering, information engineering; FOS Psychology
URL: https://dx.doi.org/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_/5306746/1
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8
Data for 'Automatic speech-to-background ratio selection to maintain speech intelligibility in broadcasts using an objective intelligibility metric' ...
Tang, Yan; Fazenda, Bruno M.; Cox, Trevor John. - : University of Salford, 2018
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9
Data for 'Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms' ...
Tang, Yan; Hughes, Richard James; Fazenda, Bruno M.. - : University of Salford, 2016
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10
Data for 'A metric for predicting binaural speech intelligibility in stationary noise and competing speech maskers' ...
Tang, Yan; Cooke, Martin; Fazenda, Bruno M.. - : University of Salford, 2016
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11
Data for 'Evaluating a distortion-weighted glimpsing metric for predicting binaural speech intelligibility in rooms' ...
Tang, Yan; Hughes, Richard James; Fazenda, Bruno M.. - : University of Salford, 2016
BASE
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12
Data for 'A metric for predicting binaural speech intelligibility in stationary noise and competing speech maskers' ...
Tang, Yan; Cooke, Martin; Fazenda, Bruno M.. - : University of Salford, 2016
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