
My research focuses on speech in interaction, combining studies of natural conversation with carefully controlled experiments in both typical speakers and speakers with speech disorders such as stuttering and dysarthria. I enjoy working on multidisciplinary projects, as they offer opportunities to explore topics from diverse perspectives.
Projects:
This project (PI: Sophie Meekings) investigates the neural and cognitive mechanisms underlying everyday conversational speech in both neurotypical individuals and people with a communication disability. Using functional near-infrared spectroscopy (fNIRS) to measure brain activity in two people as they talk, the study examines how speech is produced and perceived in real-world interactions, and how conditions like stuttering affect communication and employment outcomes.
Together with researchers in Language and Linguistics Sciences and at the University of Newcastle, this project investigates the effects of having an ‘atypical’ voice in high-stakes decision making situations.
Together with researchers in Language and Linguistics Sciences, in IT Services, and Speech and Language Therapists at York Hospital, this project aims to develop and pilot an app designed to train breathing for speaking.
Meekings, S., Eijk, L., Stankova, S., Maruthy, S., & Scott, S. (2025). Conflicting Evidence for a Motor Timing Theory of Stuttering: Choral Speech Changes the Rhythm of Both Neurotypical and Stuttering Talkers, but in Opposite Directions. Journal of Speech, Language, and Hearing Research, 1-10
Eijk, L., Stankova, S., & Meekings, S. (2023). Exploring global and local articulation rate entrainment in typical and atypical speakers. Proceedings of the 20th International Congress of Phonetic Sciences, Prague, Czech Republic, pp. 3497-3501.
Meekings, S., Eijk, L., Scott, S., & Maruthy, S. (2023). Talking chorally alters speech rhythm and induces fluency in people who stutter- but are these things connected?. Proceedings of the 20th International Congress of Phonetic Sciences, Prague, Czech Republic, pp. 932-936.
Eijk, L.*, Rasenberg, M.*, Arnese, F., Blokpoel, M., Dingemanse, M., Doeller, C. F., Ernestus. M., Holler, J., Milivojevic, B., Özyürek, A., Pouw, W., van Rooij, I., Schriefers, H., Toni, I., Trujillo, J., & Bögels, S. (2022). The CABB dataset: A multimodal corpus of communicative interactions for behavioural and neural analyses. NeuroImage, 119734. * Shared first authors
Eijk, L., Fletcher, A., McAuliffe, M., & Janse, E. (2020). The effects of word frequency and word probability on speech rhythm in dysarthria. Journal of Speech, Language, and Hearing Research, 63(9), 2833-2845.
Eijk, L., Ernestus, M., & Schriefers, H. (2019). Alignment of Pitch and Articulation Rate. Proceedings of the 19th International Congress of Phonetic Sciences, Melbourne, Australia, pp. 2690-2694.
https://scholar.google.com/citations?user=5BhPMwkAAAAJ&hl=en