2016
DOI: 10.1177/2331216516652145
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Discriminability and Perceptual Saliency of Temporal and Spectral Cues for Final Fricative Consonant Voicing in Simulated Cochlear-Implant and Bimodal Hearing

Abstract: Multiple redundant acoustic cues can contribute to the perception of a single phonemic contrast. This study investigated the effect of spectral degradation on the discriminability and perceptual saliency of acoustic cues for identification of word-final fricative voicing in “loss” versus “laws”, and possible changes that occurred when low-frequency acoustic cues were restored. Three acoustic cues that contribute to the word-final /s/-/z/ contrast (first formant frequency [F1] offset, vowel–consonant duration r… Show more

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Cited by 3 publications
(1 citation statement)
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“…This would be consistent with the findings of Stilp and Alexander (2016), who attributed larger SCEs for listeners with sensorineural hearing loss to broadened auditory filters. Additionally, as many acoustic cues to speech are degraded or eliminated in vocoder processing, normal-hearing listeners displayed increased reliance on cues that remained compared to their usage of those cues in intact speech (Winn et al 2012;Winn and Litovsky 2015;Moberly et al 2014Moberly et al , 2016Kong et al 2016). For example, Winn and Litovsky 2015showed that normal-hearing listeners' weighting of formant transitions decreased and weighting of spectral tilt changes increased when categorizing voiced stop consonants that were noise -vocoded with simulated current spread compared to their cue weighting in full-spectrum speech.…”
Section: Introductionmentioning
confidence: 99%
“…This would be consistent with the findings of Stilp and Alexander (2016), who attributed larger SCEs for listeners with sensorineural hearing loss to broadened auditory filters. Additionally, as many acoustic cues to speech are degraded or eliminated in vocoder processing, normal-hearing listeners displayed increased reliance on cues that remained compared to their usage of those cues in intact speech (Winn et al 2012;Winn and Litovsky 2015;Moberly et al 2014Moberly et al , 2016Kong et al 2016). For example, Winn and Litovsky 2015showed that normal-hearing listeners' weighting of formant transitions decreased and weighting of spectral tilt changes increased when categorizing voiced stop consonants that were noise -vocoded with simulated current spread compared to their cue weighting in full-spectrum speech.…”
Section: Introductionmentioning
confidence: 99%