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Statistical Learning of Speech Sounds in Dyslexic and Typical Reading Children

机译:阅读障碍儿童和典型阅读儿童的语音统计学习

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摘要

Statistical learning has been proposed to underlie the developmental transition during infancy from allophonic to phonemic speech sound perception. Based on this, it can be hypothesized that in dyslexic individuals, core phonemic representation deficits arise from reduced sensitivity to the statistical distribution of sounds. This study aims to investigate (a) whether statistical learning contributes to the construction of phonemic representations in typical readers, and (b) whether deficits in statistical learning underlie dyslexia. Fifty-eight children performed an identification task of a non-native phonetic contrast, before and after exposure to the sounds of the continuum. Our results suggest that the statistical distribution of the presented sounds implicitly enhanced the formation of phonemic representations and that dyslexic readers make less use of the statistical cues embedded in oral language, resulting in less distinct phonemic categories and thus a higher risk for failing to establish robust connections between these and written language.
机译:提出了统计学习作为婴儿期从同音到音素语音感知的发展过渡的基础。基于此,可以假设在诵读困难的人中,核心音素表示缺陷是由于对声音统计分布的敏感性降低而引起的。这项研究旨在调查(a)统计学习是否有助于典型读者的音素表述的构建,以及(b)统计学习不足是否是诵读困难的根源。 58名儿童在暴露于连续谱的声音之前和之后执行了非本地语音对比的识别任务。我们的结果表明,所呈现声音的统计分布隐含地增强了音素表示的形成,并且阅读障碍的读者较少使用口头语言中嵌入的统计提示,从而导致音素类别的区别性降低,从而导致无法建立稳健的风险更高这些和书面语言之间的联系。

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