The influence of the lexicon on speech read word recognition: Contrasting segmental and lexical distinctiveness
The influence of the lexicon on speech read word recognition: Contrasting segmental and lexical distinctiveness
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DOI：
10.3758/bf03196291
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发表时间：
2002-06-01
影响因子：
3.5
通讯作者：
Auer, ET
中科院分区：
文献类型：
--
作者：
Auer, ET
将口语识别的邻域激活模型（NAM; P A. Luce & Pisoni, 1998）应用于视觉口语识别的准确率预测问题。153个辅音-元音-辅音发音单词被一组12名受过大学教育的听力正常的成年人和一组12名受过大学教育的聋人成年人识别出来。在两组中，项目识别准确性与计算的NAM输出值相关。对刺激集子集的分析表明，当刺激可理解性受到控制时，邻居较少的词比邻居较多的词更容易识别。然而，当邻域密度得到控制时，片段可理解度的变化与识别精度的关系最小。目前的研究为听觉和视觉语言的通用口语识别系统提供了证据，该系统保留了对输入语音特性的敏感性。
The neighborhood activation model (NAM; P A. Luce & Pisoni, 1998) of spoken word recognition was applied to the problem of predicting accuracy of visual spoken word identification. One hundred fifty-three spoken consonant-vowel-consonant words were identified by a group of 12 college-educated adults with normal hearing and a group of 12 college-educated deaf adults. In both groups, item identification accuracy was correlated with the computed NAM output values. Analysis of subsets of the stimulus set demonstrated that when stimulus intelligibility was controlled, words with fewer neighbors were easier to identify than words with many neighbors. However, when neighborhood density was controlled, variation in segmental intelligibility was minimally related to identification accuracy. The present study provides evidence of a common spoken word recognition system for both auditory and visual speech that retains sensitivity to the phonetic properties of the input.