Speech is produced mainly in continuous streams containing several words. Listeners can use the transitional probability (TP) between adjacent and non- adjacent syllables to segment ‘‘words’’ from a continuous stream of artificial speech, much as they use TPs to or- ganize 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. Alterna- tively, language may limit what representations are open to statistical investigation according to their specific lin- guistic role. In this article, we focus on vowels and con- sonants in continuous speech. We hypothesized that vowels and consonants in words carry different kinds of infor- mation, 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.
Bonatti LL (Corresponding)
|Data di pubblicazione:||2005|
|Titolo:||Linguistic constraints on statistical computations: the role of consonants and vowels in continuous speech processing|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1111/j.0956-7976.2005.01556.x|
|Appare nelle tipologie:||2.1 Articolo su rivista |
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