Speech modifications algorithms used for training language learning-impaired children
| Autor: | William M. Jenkins, P. Tallal, Paul Johnston, Xiaoqin Wang, Steven L. Miller, Michael M. Merzenich, Christoph E. Schreiner, Srikantan S. Nagarajan |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
Male
Computer science Speech recognition Population computer.software_genre Perceptual learning Generalization (learning) medicine Humans Speech Auditory system Child education Cued speech Language Disorders education.field_of_study Learning Disabilities business.industry General Engineering Dyslexia Signal Processing Computer-Assisted Language acquisition medicine.disease Speech processing medicine.anatomical_structure Child Preschool Language Therapy Female Artificial intelligence business Algorithm computer Algorithms Mathematics Natural language Natural language processing |
| Zdroj: | IEEE Transactions on Rehabilitation Engineering. 6:257-268 |
| ISSN: | 1063-6528 |
| DOI: | 10.1109/86.712220 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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