Evoc-Learn — High quality simulation of early vocal learning

Yi Xu, Anqi Xu, Daniel R. van Niekerk, Branislav Gerazov, Peter Birkholz, Paul Konstantin Krug, Santitham Prom-on, Lorna F. Halliday

Evoc-Learn is a system for simulating early vocal learning of spoken language in ways that can overcome some of the major bottlenecks in vocal learning. The system consists of VocalTractLab, a geometrical three-dimensional vocal tract model for simulating aeroacoustics and articulatory dynamics, a coarticulation model for controlling the temporal dynamics of articulation, and a sensory feedback system for guiding the learning process. We will demonstrate each component of Evoc-Learn and show how they work together to simulate the learning of highly intelligible speech.

Cite as: Xu, Y., Xu, A., van Niekerk, D.R., Gerazov, B., Birkholz, P., Krug, P.K., Prom-on, S., Halliday, L.F. (2022) Evoc-Learn — High quality simulation of early vocal learning. Proc. Interspeech 2022, 3665-3666

@inproceedings{xu22j_interspeech,
  author={Yi Xu and Anqi Xu and Daniel R. {van Niekerk} and Branislav Gerazov and Peter Birkholz and Paul Konstantin Krug and Santitham Prom-on and Lorna F. Halliday},
  title={{Evoc-Learn — High quality simulation of early vocal learning}},
  year=2022,
  booktitle={Proc. Interspeech 2022},
  pages={3665--3666}
}