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1. K. Kokkinakis, O. Hazrati, and P. C. Loizou, “A channel-selection criterion for suppressing reverberation in cochlear implants,” J. Acoust. Soc. Am. 129(5), 32213232 (2011).
2. K. Kokkinakis and P. C. Loizou, “Selective-tap blind dereverberation for two-microphone enhancement of reverberant speech,” IEEE Signal Process. Lett. 16(11), 961964 (2009).
3. O. Hazrati and P. C. Loizou, “Tackling the combined effects of reverberation and masking noise using ideal channel selection,” J. Speech, Lang., Hear. Res. 55(2), 500510 (2012).
4. O. Hazrati and P. C. Loizou, “Reverberation suppression in cochlear implants using a blind channel-selection strategy,” J. Acoust. Soc. Am. 133(6), 41884196 (2013).
5. O. Hazrati, S. O. Sadjadi, P. C. Loizou, and J. H. L. Hansen, “Simultaneous suppression of noise and reverberation in cochlear implants using a ratio masking strategy,” J. Acoust. Soc. Am. 134(5), 37593765 (2013).
6. R. H. Bolt and A. D. MacDonald, “Theory of speech masking by reverberation,” J. Acoust. Soc. Am. 21(6), 577580 (1949).
7. Y. Hu and K. Kokkinakis, “Effects of early and late reflections on intelligibility of reverberated speech by cochlear implant listeners,” J. Acoust. Soc. Am. 135(1), EL22EL28 (2013).
8. A. E. Vandali, L. A. Whitford, K. L. Plant, and G. M. Clark, “Speech perception as a function of electrical stimulation rate: Using the Nucleus 24 cochlear implant system,” Ear Hear. 21(6), 608624 (2000).
9. O. Hazrati, J. Lee, and P. C. Loizou, “Blind binary masking for reverberation suppression in cochlear implants,” J. Acoust. Soc. Am. 133(3), 16071614 (2013).
10. K. Kokkinakis and P. C. Loizou, “The impact of reverberant self-masking and overlap-masking effects on speech intelligibility by cochlear implant listeners,” J. Acoust. Soc. Am. 130(3), 10991102 (2011).
11. E. A. Lehmann and A. M. Johansson, “Prediction of energy decay in room impulse responses simulated with an image-source model,” J. Acoust. Soc. Am. 124(1), 269277 (2008).
12. B. Champagne, S. Bédard, and A. Stéphenne, “Performance of time-delay estimation in the presence of room reverberation,” IEEE Trans. Speech Audio Process. 4(2), 148152 (1996).
13. M. Nilsson, S. Soli, and J. A. Sullivan, “Development of the Hearing in Noise Test for the measurement of speech reception thresholds in quiet and in noise,” J. Acoust. Soc. Am. 95(2), 10851099 (1994).
14. H. Davis and S. R. Silverman, Hearing and Deafness, 4th ed. (Holt, Rhinehart, and Winston, New York, 1978), pp. 537538.
15. S. L. Tantum, L. M. Collins, and C. S. Throckmorton, “Bayesian a posteriori performance estimation for speech recognition and psychophysical tasks,” URL (Last viewed October 2013).

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Many cochlear implant (CI) listeners experience decreased speech recognition in reverberant environments [Kokkinakis , J. Acoust. Soc. Am. (5), 3221–3232 (2011)], which may be caused by a combination of self- and overlap-masking [Bolt and MacDonald, J. Acoust. Soc. Am. (6), 577–580 (1949)]. Determining the extent to which these effects decrease speech recognition for CI listeners may influence reverberation mitigation algorithms. This study compared speech recognition with ideal self-masking mitigation, with ideal overlap-masking mitigation, and with no mitigation. Under these conditions, mitigating either self- or overlap-masking resulted in significant improvements in speech recognition for both normal hearing subjects utilizing an acoustic model and for CI listeners using their own devices.


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