Language Comprehension in Language-Learning Impaired Children Improved with Acoustically Modified Speech

Autor: Christoph E. Schreiner, Michael M. Merzenich, William M. Jenkins, Steve Miller, G. Byma, Xiaoqin Wang, Srikantan S. Nagarajan, Paula Tallal, Gail Bedi
Rok vydání: 1996
Předmět:
Zdroj: Science. 271:81-84
ISSN: 1095-9203
0036-8075
DOI: 10.1126/science.271.5245.81
Popis: A speech processing algorithm was developed to create more salient versions of the rapidly changing elements in the acoustic waveform of speech that have been shown to be deficiently processed by language-learning impaired (LLI) children. LLI children received extensive daily training, over a 4-week period, with listening exercises in which all speech was translated into this synthetic form. They also received daily training with computer "games" designed to adaptively drive improvements in temporal processing thresholds. Significant improvements in speech discrimination and language comprehension abilities were demonstrated in two independent groups of LLI children.
Databáze: OpenAIRE