Computational modelling of an auditory lexical decision experiment using jTRACE and TISK
Computational modelling of an auditory lexical decision experiment using jTRACE and TISK
复制标题
使用 jTRACE 和 TISK 进行听觉词汇决策实验的计算建模
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Benjamin V. Tucker
中科院分区：
文献类型：
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作者：
Filip Nenadić;Benjamin V. Tucker
摘要我们提出了一系列的听觉词汇决策任务的计算模拟使用的jTRACE和TISK模型的口语单词识别。模拟1复制了单词识别的高准确性和使用小的默认字典的这些模型的类似性能。模拟2扩展了单词和音素的集合，导致在jTRACE中表示某些音素时出现问题。模拟3扩展了竞争对手的词汇，我们发现TISK努力选择目标词作为赢家。最后，模拟4表明，当向模型提供伪词时，所采用的决策标准会导致许多误报。没有一个模型估计的时间周期时，赢家应该被选择预测参与者的反应潜伏期在听觉词汇决策任务。我们讨论这些发现，并提供建议，以什么样的当代模型的口语单词识别应该能够做的。
ABSTRACT We present a series of computational simulations of the auditory lexical decision task using the jTRACE and TISK models of spoken word recognition. Simulation 1 replicates high accuracy in word recognition and similar performance of these models using the small, default dictionary. Simulation 2 expands the set of words and phonemes, leading to issues in representing certain phonemes in jTRACE. Simulation 3 expands the lexicon of competitors and we find that TISK struggles to select the target word as the winner. Finally, Simulation 4 shows that the decision criteria employed leads to many false positives when pseudowords are presented to the model. None of the model estimates of the time cycle when the winner should be selected predicted participant response latency in the auditory lexical decision task. We discuss these findings and offer suggestions as to what a contemporary model of spoken word recognition should be able to do.
语音邻域聚类系数对口语识别的影响。
DOI：
10.1037/a0016902
发表时间：
2009-12
影响因子：
2.1
作者：
Chan, Kit Ying;Vitevitch, Michael S.
通讯作者：
Vitevitch, Michael S.
影响因子：
2.4
作者：
HILLENBRAND, J;GETTY, LA;WHEELER, K
通讯作者：
WHEELER, K