Linguistic constraints on statistical computations -: The role of consonants and vowels in continuous speech processing
Linguistic constraints on statistical computations -: The role of consonants and vowels in continuous speech processing
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DOI：
10.1111/j.0956-7976.2005.01556.x
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发表时间：
2005-06-01
影响因子：
8.2
通讯作者：
Mehler, J
中科院分区：
文献类型：
--
作者：
Bonatti, LL;Peña, M;Mehler, J
语音主要是在包含几个单词的连续流中产生的。听者可以使用相邻和非相邻音节之间的转换概率(TP)来从连续的人工语音流中切分“单词”，就像他们使用TPS来组织各种感知连续体一样。因此，通用统计设备利用任何语音单元来实现语音流分段是可能的。或者，语言可以根据其特定的语言角色来限制可供统计调查使用的表征。在这篇文章中，我们关注的是连续言语中的元音和辅音。我们假设单词中的元音和辅音携带不同类型的信息，后者更多地与单词识别有关，而前者与语法有关。因此，我们预测，在涉及连续语音的单词识别任务中，学习者将跟踪辅音之间的TPS，而不是元音之间的TPS。我们的结果表明辅音在单词识别中具有优先作用。
Speech is produced mainly in continuous streams containing several words. Listeners can use the transitional probability (TP) between adjacent and nonadjacent syllables to segment "words" from a continuous stream of artificial speech, much as they use TPs to organize a variety of perceptual continua. It is thus possible that a general-purpose statistical device exploits any speech unit to achieve segmentation of speech streams. Alternatively, language may limit what representations are open to statistical investigation according to their specific linguistic role. In this article, we focus on vowels and consonants in continuous speech. We hypothesized that vowels and consonants in words carry different kinds of information, the latter being more tied to word identification and the former to grammar. We thus predicted that in a word identification task involving continuous speech, learners would track TPs among consonants, but not among vowels. Our results show a preferential role for consonants in word identification.