LEADER 00000nam  2200361   4500 
001    AAI3466911 
005    20120912073719.5 
008    120912s2011    ||||||||||||||||| ||eng d 
020    9781124808130 
035    (UMI)AAI3466911 
040    UMI|cUMI 
100 1  Anderson, Elizabeth Susan 
245 10 Spectral Resolution and Speech Recognition in Noise by 
       Cochlear Implant Users 
300    143 p 
500    Source: Dissertation Abstracts International, Volume: 72-
       10, Section: B, page: 5844 
500    Advisers: Peggy B. Nelson; Robert S. Schlauch 
502    Thesis (Ph.D.)--University of Minnesota, 2011 
520    For cochlear implant (CI) users, the relationship between 
       spectral resolution and speech perception in noise has 
       remained ambiguous. An even more fundamental question has 
       been how to measure spectral resolution in CI listeners. 
       This dissertation describes work exploring the 
       relationships among different measures of spectral 
       resolution, and between each of those measures and speech 
       recognition in quiet and in noise. Spectral ripple 
       discrimination was found to correlate strongly with 
       spatial tuning curves, when the measures were matched in 
       frequency region. Broadband spectral ripple discrimination
       correlated well with sentence recognition in quiet, but 
       not in background noise. Spectral ripple detection 
       correlated strongly with speech recognition in quiet, but 
       its validity as a measure of spectral resolution was not 
       empirically supported. Spectral ripple discrimination 
       thresholds were compared to sentence recognition in noise,
       using spectrally-limited maskers that did not overlap with
       the entire speech spectrum. Speech reception thresholds 
       were measured in the presence of four low- or high-
       frequency maskers, all bandpass-filtered from speech-
       shaped noise, and a broadband masker encompassing most of 
       the speech spectrum. The findings revealed substantial 
       between-subject variability in susceptibility to masking 
       by each of these noises and in spectral release from 
       masking, which cannot be explained simply in terms of 
       energetic masking and does not appear to be strongly 
       related to spectral resolution. Better CI users appeared 
       to show stronger relationships between spectral resolution
       and speech perception than did poorer users, implying that
       advanced CI processing strategies designed to maximize the
       number of spectral channels may not benefit all CI users 
590    School code: 0130 
650  4 Health Sciences, Audiology 
690    0300 
710 2  University of Minnesota.|bSpeech-Language-Hearing Sciences
773 0  |tDissertation Abstracts International|g72-10B 
856 40 |uhttp://pqdd.sinica.edu.tw/twdaoapp/servlet/