Supervised and Unsupervised Learning of Multidimensional Acoustic Categories
Supervised and Unsupervised Learning of Multidimensional Acoustic Categories
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DOI：
10.1037/a0015781
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发表时间：
2009-12-01
影响因子：
2.1
通讯作者：
Smits, Roel
中科院分区：
文献类型：
--
作者：
Goudbeek, Martijn;Swingley, Daniel;Smits, Roel
学习识别特定语言的音素库的对比可以被视为在多维心理物理空间中形成类别。分布定义的视觉类别的学习的研究表明，定义在I维的类别是容易学习和学习多维类别是更困难的，但在特定的任务条件下易于处理。在2个实验中，成年参与者学习一维或多维类别的区别或没有监督（反馈）在学习过程中。单维的区别很容易学习和监督证明是有益的，特别是在保持类别学习超越学习阶段。学习多维类别的区别被证明是更加困难和监督几乎没有那么有益的一维定义的类别。只有当识别类别的分布信息在整个测试阶段仍然存在时，才有可能保持学习到的多维类别区分。我们的结论是，听众是敏感的试验由试验反馈和分布信息的刺激。即使接触有限，听众也学会了使用两个相关的维度。尽管有相当大的困难。
Learning to recognize the contrasts of a language-specific phonemic repertoire can be viewed as forming categories in a multidimensional psychophysical space. Research on the learning of distributionally defined visual categories has shown that categories defined over I dimension are easy to learn and that learning multidimensional categories is more difficult but tractable under specific task conditions. In 2 experiments, adult participants learned either a unidimensional ora multidimensional category distinction with or without supervision (feedback) during learning. The unidimensional distinctions were readily learned and supervision proved beneficial, especially in maintaining category learning beyond the learning phase. Learning the multidimensional category distinction proved to be much more difficult and supervision was not nearly as beneficial as with unidimensionally defined categories. Maintaining a learned multidimensional category distinction was only possible when the distributional information (hat identified the categories remained present throughout the testing phase. We conclude that listeners are sensitive to both trial-by-trial feedback and the distributional information in the stimuli. Even given limited exposure, listeners learned to use 2 relevant dimensions. albeit with considerable difficulty.