Comparing live to recorded speech in training the perception of spectrally shifted noise-vocoded speech
Author(s) -
Andrew Faulkner,
Stuart Rosen,
Tim Green
Publication year - 2012
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.4754432
Subject(s) - speech perception , noise (video) , audiology , perception , speech recognition , acoustics , psychology , computer science , medicine , physics , artificial intelligence , neuroscience , image (mathematics)
Two experimental groups were trained for 2 h with live or recorded speech that was noise-vocoded and spectrally shifted and was from the same text and talker. These two groups showed equivalent improvements in performance for vocoded and shifted sentences, and the group trained with recorded speech showed consistently greater improvements than untrained controls. Another group trained with unshifted noise-vocoded speech improved no more than untrained controls. Computer-based training thus appears at least as effective as labor-intensive live-voice training for improving the perception of spectrally shifted noise-vocoded speech, and by implication, for training of users of cochlear implants.
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