Adriaans Frans, Swingley Daniel
Utrecht Institute of Linguistics OTS, Utrecht University, Trans 10, 3512 JK Utrecht, the Netherlands.
Department of Psychology, University of Pennsylvania, 425 South University Avenue, Philadelphia, Pennsylvania 19104, USA.
J Acoust Soc Am. 2017 May;141(5):3070. doi: 10.1121/1.4982246.
Perceptual experiments with infants show that they adapt their perception of speech sounds toward the categories of the native language. How do infants learn these categories? For the most part, acoustic analyses of natural infant-directed speech have suggested that phonetic categories are not presented to learners as separable clusters of sounds in acoustic space. As a step toward explaining how infants begin to solve this problem, the current study proposes that the exaggerated prosody characteristic of infant-directed speech may highlight for infants certain speech-sound tokens that collectively form more readily identifiable categories. A database is presented, containing vowel measurements in a large sample of natural American English infant-directed speech. Analyses of the vowel space show that prosodic exaggeration in infant-directed speech has the potential to support distributional vowel learning by providing the learner with a subset of "high-quality" tokens that infants might attend to preferentially. Categorization models trained on prosodically exaggerated tokens outperformed models that were trained on tokens that were not exaggerated. Though focusing on more prominent, exaggerated tokens does not provide a solution to the categorization problem, it would make it easier to solve.
针对婴儿的感知实验表明,他们会使自己对语音的感知朝着母语的类别进行调整。婴儿是如何学习这些类别的呢?在很大程度上,对自然的面向婴儿的语音进行的声学分析表明,语音类别在声学空间中并非作为可分离的声音集群呈现给学习者。作为解释婴儿如何开始解决这个问题的第一步,当前的研究提出,面向婴儿的语音所具有的夸张韵律特征可能会为婴儿突出某些语音标记,这些语音标记共同形成更容易识别的类别。本文呈现了一个数据库,其中包含大量自然的美式英语面向婴儿的语音中的元音测量数据。对元音空间的分析表明,面向婴儿的语音中的韵律夸张有可能通过为学习者提供婴儿可能优先关注的“高质量”标记子集来支持元音的分布学习。在韵律夸张的标记上训练的分类模型比在未夸张的标记上训练的模型表现更好。虽然关注更突出、夸张的标记并不能解决分类问题,但会使其更容易解决。