DocumentCode :
1424116
Title :
Speech modifications algorithms used for training language learning-impaired children
Author :
Nagarajan, Srikantan S. ; Wang, Xiaoqin ; Merzenich, Michael M. ; Schreiner, Christoph E. ; Johnston, Paul ; Jenkins, William M. ; Miller, Steven ; Tallal, Paula
Author_Institution :
Keck Center for Integrative Neurosci., California Univ., San Francisco, CA, USA
Volume :
6
Issue :
3
fYear :
1998
fDate :
9/1/1998 12:00:00 AM
Firstpage :
257
Lastpage :
268
Abstract :
In this paper, the details of processing algorithms used in a training program with language learning-impaired children (LLIs) are described. The training program utilized computer games, speech/language training exercises, books-on-tape and educational CD-ROMs. Speech tracks in these materials were processed using these algorithms. During a four week training period, recognition of both processed and normal speech in these children continually increased to near age-appropriate levels. The authors conclude that this form of processed speech is subject to profound perceptual learning effects and exhibits widespread generalization to normal speech. This form of learning and generalization contributes to the rehabilitation of temporal processing deficits and language comprehension in this subject population
Keywords :
patient treatment; speech processing; training; 4 w; age-appropriate levels; books-on-tape; computer games; educational CD-ROMs; language comprehension; language learning-impaired children; language training exercises; normal speech; profound perceptual learning effects; speech modifications algorithms; speech tracks; speech/language training exercises; temporal processing deficits rehabilitation; Auditory system; Biomedical engineering; Frequency; Learning systems; Machine learning; Natural languages; Neuroplasticity; Neuroscience; Speech processing; Speech recognition;
fLanguage :
English
Journal_Title :
Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6528
Type :
jour
DOI :
10.1109/86.712220
Filename :
712220
Link To Document :
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