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• W2085654611 endingPage "621" @default.
• W2085654611 startingPage "594" @default.
• W2085654611 abstract "This article describes a neural network model of speech motor skill acquisition and speech production that explains a wide range of data on variability, motor equivalence, coarticulation, and rate effects. Model parameters are learned during a babbling phase. To explain how infants learn language-specific variability limits, speech sound targets take the form of convex regions, rather than points, in orosensory coordinates. Reducing target size for better accuracy during slower speech leads to differential effects for vowels and consonants, as seen in experiments previously used as evidence for separate control processes for the 2 sound types. Anticipatory coarticulation arises when targets are reduced in size on the basis of context; this generalizes the well-known look-ahead model of coarticulation. Computer simulations verify the model's properties." @default.
• W2085654611 created "2016-06-24" @default.
• W2085654611 creator A5025328957 @default.
• W2085654611 date "1995-01-01" @default.
• W2085654611 modified "2023-10-11" @default.
• W2085654611 title "Speech sound acquisition, coarticulation, and rate effects in a neural network model of speech production." @default.
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