title: Unmasking the acoustic effects of vowel-to-vowel coarticulation: A statistical modeling approach.
abstract: Coarticulation is a source of acoustic variability for vowels, but how large is this effect relative to other sources of variance? We investigate acoustic effects of anticipatory V-to-V coarticulation relative to variation due to the following C and individual speaker. We examine F1 and F2 from V1 in 48 V1-C#V2 contexts produced by 10 speakers of American English. ANOVA reveals significant effects of both V2 and C on F1 and F2 measures of V1. The influence of V2 and C on acoustic variability relative to that of speaker and target vowel identity is evaluated using hierarchical linear regression. Speaker and target vowel account for roughly 80% of the total variance in F1 and F2, but when this variance is partialed out C and V2 account for another 18% (F1) and 63% (F2) of the remaining target vowel variability. Multinomial logistic regression (MLR) models are constructed to test the power of target vowel F1 and F2 for predicting C and V2 of the upcoming context. Prediction accuracy is 58% for C-Place, 76% for C-Voicing and 54% for V2, but only when variance due to other sources is factored out. MLR is discussed as a model of the parsing mechanism in speech perception.
authors.affiliation: Department of Linguistics, University of Illinois at Urbana-Champaign, 707 South Mathews, Urbana, IL 61801, USA.
authors.forename: Jennifer
authors.initials: J
authors.lastname: Cole
authors.forename: Gary
authors.initials: G
authors.lastname: Linebaugh
authors.forename: Cheyenne
authors.initials: C
authors.lastname: Munson
authors.forename: Bob
authors.initials: B
authors.lastname: McMurray