Planning the Articulation of Spoken Utterances

Project Information

PlanArt

Grant agreement ID: 101019847

DOI 10.3030/101019847

EC signature date 20 October 2021

Start date 1 January 2022

End date 31 December 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 2 375 025,00

EU contribution € 2 375 025,00

Coordinated by

THE UNIVERSITY OF EDINBURGH
United Kingdom

Publications

Conference proceedings (5)

Optimal control of speech with context-dependent targets

Author(s): Benjamin Elie; Juraj Simko; Alice Turk
Published in: Proc. INTERSPEECH 2023, 2023
Publisher: International Speech Communication Association (ISCA)
DOI: 10.21437/interspeech.2023-172

PlanArt: A modular platform for computational modeling of articulatory planning

Author(s): Alice Turk; Benjamin Elie; Juraj Simko
Published in: Proceedings of the 20th International Congress of Phonetic Sciences, Prague 2023, 2023, ISBN 978-80-908114-2-3
Publisher: Guarant International

Estimating virtual targets for lingual stop consonants using general Tau theory

Author(s): Benjamin Elie; Alice Turk
Published in: Proc. INTERSPEECH 2023, 2023, Page(s) 3083-3087
Publisher: International Speech Communication Association (ISCA)
DOI: 10.21437/interspeech.2023-953

Optimal Control Theory of speech production using probabilistic articulatory-acoustic models

Author(s): Benjamin Elie; Juraj Simko; Alice Turk
Published in: Proceedings of the 20th International Congress of Phonetic Sciences, Prague 2023, 2023
Publisher: Guarant International

Similar and different tongue surface contours: Intra-speaker controls in ultrasound analysis

Author(s): James M. Scobbie;
Published in: Proceedings of the 20th International Congress of Phonetic Sciences, Prague 2023, 2023
Publisher: Guarant International

Peer reviewed articles (1)

Modeling Trajectories of Human Speech Articulators Using General Tau Theory

Author(s): Benjamin Elie; David N. Lee; Alice Turk
Published in: Speech Communication, Issue vol. 151, 2023, Page(s) pp. 24-38, ISSN 0167-6393
Publisher: Elsevier BV
DOI: 10.2139/ssrn.4201850