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• W2014365762 abstract "This paper deals with the problem of predicting the average intelligibility of noisy and potentially processed speech signals, as observed by a group of normal hearing listeners. We propose a model which performs this prediction based on the hypothesis that intelligibility is monotonically related to the mutual information between critical-band amplitude envelopes of the clean signal and the corresponding noisy/processed signal. The resulting intelligibility predictor turns out to be a simple function of the mean-square error (mse) that arises when estimating a clean critical-band amplitude using a minimum mean-square error (mmse) estimator based on the noisy/processed amplitude. The proposed model predicts that speech intelligibility cannot be improved by any processing of noisy critical-band amplitudes. Furthermore, the proposed intelligibility predictor performs well ( ρ > 0.95) in predicting the intelligibility of speech signals contaminated by additive noise and potentially non-linearly processed using time-frequency weighting." @default.
• W2014365762 created "2016-06-24" @default.
• W2014365762 creator A5041263382 @default.
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• W2014365762 date "2014-02-01" @default.
• W2014365762 modified "2023-10-03" @default.
• W2014365762 title "Speech Intelligibility Prediction Based on Mutual Information" @default.
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• W2014365762 doi "https://doi.org/10.1109/taslp.2013.2295914" @default.
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