A review of lumped-element models of voiced speech
Speech Communication
An adaptive neural control scheme for articulatory synthesis of CV sequences
Computer Speech and Language
| Hi-index | 0.00 |
We present a novel quantitative model for the generation of articulatory trajectories based on the concept of sequential target approximation. The model was applied for the detailed reproduction of movements in repeated consonant-vowel syllables measured by electromagnetic articulography (EMA). The trajectories for the constrictor (lower lip, tongue tip, or tongue dorsum) and the jaw were reproduced. Thereby, we tested the following hypotheses about invariant properties of articulatory commands: (1) The target of the primary articulator for a consonant is invariant with respect to phonetic context, stress, and speaking rate. (2) Vowel targets are invariant with respect to speaking rate and stress. (3) The onsets of articulatory commands for the jaw and the constrictor are synchronized. Our results in terms of high-quality matches between observed and model-generated trajectories support these hypotheses. The findings of this study can be applied to the development of control models for articulatory speech synthesis.