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首页> 外文期刊>Journal of Autism and Developmental Disorders >What Automated Vocal Analysis Reveals About the Vocal Production and Language Learning Environment of Young Children with Autism
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What Automated Vocal Analysis Reveals About the Vocal Production and Language Learning Environment of Young Children with Autism

机译：自动语音分析揭示了自闭症幼儿的语音产生和语言学习环境

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摘要

The study compared the vocal production and language learning environments of 26 young children with autism spectrum disorder (ASD) to 78 typically developing children using measures derived from automated vocal analysis. A digital language processor and audio-processing algorithms measured the amount of adult words to children and the amount of vocalizations they produced during 12-h recording periods in their natural environments. The results indicated significant differences between typically developing children and children with ASD in the characteristics of conversations, the number of conversational turns, and in child vocalizations that correlated with parent measures of various child characteristics. Automated measurement of the language learning environment of young children with ASD reveals important differences from the environments experienced by typically developing children.
机译：这项研究比较了26名自闭症谱系障碍（ASD）的幼儿和78名典型的发育中儿童的声音产生和语言学习环境，他们使用自动声音分析得出的测量结果。数字语言处理器和音频处理算法测量了在自然环境中12小时录制期间针对儿童的成人单词的数量以及他们产生的发声数量。结果表明，典型发展中的儿童和患有ASD的儿童之间在对话特征，对话轮数以及与父母对各种儿童特征的测评相关的儿童发声方面存在显着差异。自动测量ASD幼儿的语言学习环境表明，与通常发育的儿童所经历的环境存在重大差异。

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