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Vowel coarticulation: Landmark statistics measure vowel aggression

Authors: Wei-rong, Chen; Yueh-chin, Chang; Khalil, Iskarous;

Vowel coarticulation: Landmark statistics measure vowel aggression

Abstract

Regression analysis and mutual information have been used to measure the degree of dependence between a consonant and a vowel, and this has been used to identify the invariance of consonant place and to quantify the coarticulatory resistance of consonants [e.g., Fowler (1994). Percept. Psychophys. 55, 597–610]. This paper presents the first application of this approach to measure coarticulatory properties of vowels, using regression analysis and mutual information on articulatory data of CV syllables produced by seven Taiwan Mandarin speakers. The results show that vowel /i/ shares the most information with the preceding consonant among vowels for the tongue body, whereas vowels /a/ and /u/ are not significantly different from each other in that respect. For the lip articulator, the degree of information sharing for vowels is in the progression: /u/ > /i/ > /a/. Based on the CV model theory of gestural coordination (C-V in-phase relation) and the present results, this study proposes that landmark statistics for vowels reflect the degree of vowel aggression and that V-to-C effect is dominant over C-to-V effect in C-V coarticulation.

Keywords

Adult, Male, Models, Theoretical, Lip, Speech Production Measurement, Tongue, Phonetics, Linear Models, Speech Perception, Humans, Speech, Female

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Average
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