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Nonintrusive Speech Intelligibility Prediction Using Convolutional Neural Networks.

, , , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (10): 1925-1939 (2018)

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Nonintrusive Speech Intelligibility Prediction Using Convolutional Neural Networks., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (10): 1925-1939 (2018)On the Use of Band Importance Weighting in the Short-Time Objective Intelligibility Measure., , , and . INTERSPEECH, page 2963-2967. ISCA, (2017)Design of oversampled uniform DFT filter banks with delay specification using quadratic optimization., , , and . ICASSP, page 3633-3636. IEEE, (2001)Least squares design of nonuniform filter banks with evaluation in speech enhancement., , and . ICASSP (6), page 109-112. IEEE, (2003)Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions., , , and . Speech Commun., (2018)Iterative method for the design of DFT filter Bank., , , and . IEEE Trans. Circuits Syst. II Express Briefs, 51-II (11): 581-586 (2004)Predicting the Intelligibility of Noisy and Nonlinearly Processed Binaural Speech., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (11): 1908-1920 (2016)Filter bank design for subband adaptive microphone arrays., , , and . IEEE Trans. Speech Audio Process., 11 (1): 14-23 (2003)A non-intrusive Short-Time Objective Intelligibility measure., , , and . ICASSP, page 5085-5089. IEEE, (2017)A method for predicting the intelligibility of noisy and non-linearly enhanced binaural speech., , , and . ICASSP, page 4995-4999. IEEE, (2016)