JOURNAL ARTICLE

An ultrasound study of Canadian French rhotic vowels with polar smoothing spline comparisons

Jeff Mielke

Year: 2015 Journal:   The Journal of the Acoustical Society of America Vol: 137 (5)Pages: 2858-2869   Publisher: Acoustical Society of America

Abstract

This is an acoustic and articulatory study of Canadian French rhotic vowels, i.e., mid front rounded vowels /ø œ̃ œ/ produced with a rhotic perceptual quality, much like English [ɚ] or [ɹ], leading heureux, commun, and docteur to sound like [ɚʁɚ], [kɔmɚ̃], and [dɔktaɹʁ]. Ultrasound, video, and acoustic data from 23 Canadian French speakers are analyzed using several measures of mid-sagittal tongue contours, showing that the low F3 of rhotic vowels is achieved using bunched and retroflex tongue postures and that the articulatory-acoustic mapping of F1 and F2 are rearranged in systems with rhotic vowels. A subset of speakers' French vowels are compared with their English [ɹ]/[ɚ], revealing that the French vowels are consistently less extreme in low F3 and its articulatory correlates, even for the most rhotic speakers. Polar coordinates are proposed as a replacement for Cartesian coordinates in calculating smoothing spline comparisons of mid-sagittal tongue shapes, because they enable comparisons to be roughly perpendicular to the tongue surface, which is critical for comparisons involving tongue root position but appropriate for all comparisons involving mid-sagittal tongue contours.

Keywords:
Tongue Smoothing Vowel Acoustics Sagittal plane Mathematics Speech recognition Computer science Linguistics Physics Medicine Statistics Anatomy

Metrics

75
Cited By
6.66
FWCI (Field Weighted Citation Impact)
21
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Phonetics and Phonology Research
Social Sciences →  Psychology →  Experimental and Cognitive Psychology
Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing

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