Formant-based articulatory strategies
Characterisation and inter-speaker variability analysis
Bibliographic Data
| ID | 7858188 |
|---|---|
| Authors | Antoine Serrurier (0000-0001-8268-6832, RWTH Aachen University, corresponding author), Christiane Neuschaefer-Rube, Christiane Neuschaefer‐Rube (0000-0002-2207-0670, RWTH Aachen University) |
| Year | 2024 |
| Volume | 107 |
| Pages | 101374 |
| Publication date | 2024-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Phonetics (JOURNAL) |
| Journal identifiers | ISSN: 0095-4470 • E-ISSN: 1095-8576 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.wocn.2024.101374 |
| OpenAlex | W4404128944 |
| Language | EN |
| References cited | 39 |
The study determines the main articulatory variations related to formant variations. • Articulatory components corresponding to formant variations were obtained. • Inter-speaker variability was qualitatively and quantitatively analysed. • The relationship between inter-speaker variability and morphology was determined. • Articulatory variations are slightly driven by palate shape and pharyngeal height. Vowels are articulatorily characterised by the shape of the vocal tract and acoustically by their three lowest formants. The relationship between formant variations and articulatory variations is well documented. This study addresses the opposite problem: describing the main articulatory variations associated with the variations of single formants. A data-driven modelling-based approach was chosen for this purpose. Midsagittal vocal tract contours from the glottis to the lips for 532 vowels from 41 speakers of three different languages were obtained from MRI data. Corresponding formant values were obtained by acoustic modelling. For each speaker, linear regressions of the contours on the formant values were performed. It led to five articulatory components, characterising the vocal tract variations associated with variations of the first three formants and their differences. Inter-speaker variability was analysed by applying principal components analysis on the components in a second level of modelling. A correlation analysis of the resulting inter-speaker components with morphological features was performed to determine whether a speaker’s strategy could be driven by the morphology. Results show that the palate shape and the vertical pharyngeal height, related to the male–female difference, have a small influence on the speaker’s strategy. Associated Matlab code is publicly available
Formant · Speech recognition · Computer Science · Phonetics and Phonology Research · Speech and dialogue systems · Speech Recognition and Synthesis
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| Highly cited | No |
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