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Title:
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Velar Palatalization: Coarticulation, perception, and sound change
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Author:
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Susan Guion
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Email:
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click here to access email
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Homepage:
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http://darkwing.uoregon.edu/~guion/guion.htm
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Degree Awarded:
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University of Texas at Austin
, Department of Linguistics
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Degree Date:
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1996
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Linguistic Subfield(s):
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Historical Linguistics
Phonology
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Director(s):
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Andrew Garrett
Scott Myers
Bjorn Lindblom
Nicola Bessell
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Abstract:
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This dissertation investigates the sound change of velar palatalization (e.g., k > tS __ [front vowel]) for insights into the nature of sound change. From the premise that sound change is phonetically conditioned, the hypothesis is constructed that velar palatalization is the result of a perceptual reanalysis of faster, reduced speech. This hypothesis makes several testable predictions that are pursued experimentally.
The prediction that fronted velars are acoustically similar to coronals, especially in faster speech is investigated. The focus is on one of the most common outcomes of the sound change, namely the palatoalveolar affricate. The spectral and temporal properties of velars and palatoalveolars are investigated. The locus equation methodology is also used to compare the F2 transitions of velars and palatoalveolars. In this study, two speech styles (citation and faster) are used to determine whether or not the faster speech tokens of the velars are more like palatoalveolars than the citation speech tokens. The results of two perception experiments investigating the prediction that velars will be heard as palatoalveolars before front vowels are also reported. The results of the experimental work support the hypothesis.
A theory of sound change is proposed which expands the Lindblom et al. (1995) model of sound change to allow a role for phonetic categories. The addition of phonetic categories has advantages over a word-based model since it predicts the regularity of sound change and allows investigation into adaptive forces which act on systems as a whole such as auditory enhancement (Diehl and Kluender 1989, Diehl et al. 1990) and adaptive dispersion (Lindblom 1986).
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