Tallal P, Miller S L, Bedi G, Byma G, Wang X, Nagarajan S S, Schreiner C, Jenkins W M, Merzenich M M
Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.
Science. 1996 Jan 5;271(5245):81-4. doi: 10.1126/science.271.5245.81.
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.
一种语音处理算法被开发出来,用于创建语音声学波形中快速变化元素的更显著版本,这些元素已被证明语言学习受损(LLI)儿童处理不足。LLI儿童在4周的时间里接受了广泛的日常训练,进行听力练习,其中所有语音都被翻译成这种合成形式。他们还接受了旨在自适应提高时间处理阈值的计算机“游戏”的日常训练。在两组独立的LLI儿童中都证明了语音辨别和语言理解能力有显著提高。