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In this work, we develop a spectral subtraction strategy capable of suppressing late reflections. Late reflections are the most detrimental to speech intelligibility by cochlear implant listeners as reverberation increases. By tackling only the late part of reflections, it is shown that users of cochlear implant devices can recognize words at a level near that attained in quiet listening conditions...
In this paper, we assess the perceptual contributions of vowel versus consonant information to speech perception by unilateral and bilateral cochlear implant (CI) listeners. Consistent with the earlier results reported for normal hearing and hearing impaired listeners, vowels play a significantly more important role compared to consonants in the sentence perception by cochlear implant listeners. In...
Despite the established importance of temporal fine-structure (TFS) on speech perception in noise, existing speech transmission metrics use primarily envelope information to model speech intelligibility variance. This study proposes a new physical metric for predicting speech intelligibility using information obtained from the Hilbert-derived TFS waveform. It is found that by making explicit use of...
In this paper, we report on the evaluation of intelligibility of speech enhancement algorithms. IEEE sentences were corrupted by four types of noise including babble, car, street and train at two SNR levels (0 dB and 5 dB), and then processed by eight speech enhancement methods encompassing four classes of algorithms: spectral subtractive, subspace, statistical model based and Wiener-type algorithms...
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