I am a postdoctoral researcher at the Institute of Computational Linguistics. I am broadly interested in speech and voice perception at the behavioural and neural levels. In my research, I employ methods from acoustic and auditory phonetics, as well as cognitive neuroscience to understand voice production and perception in different listener populations (younger adults, older adults, with and without hearing loss). My recent work focused on how different factors, such as audio quality, listener and speaker age, as well as familiarity with the voice affect our ability to recognise voices.

Since February 2024, I am also working as a caseworker at J P French International specialising in forensic speech and audio analysis.

Education

Publications

Perepelytsia, V., Bradshaw, L., & Dellwo, V. (2023). IDEAR: A speech database of identity-marked, clear, and read speech. In R. Skarnitzl & J. Volín (Eds.), Proceedings of the 20th International Congress of Phonetic Sciences (pp. 3216–3220). Guarant International. https://doi.org/10.5167/uzh-236804

Perepelytsia, V., & Dellwo, V. (2023). Acoustic compression in Zoom audio does not compromise voice recognition performance. Scientific Reports, 13(1), 18742. https://doi.org/10.1038/s41598-023-45971-x

Bradshaw, L., Perepelytsia, V., & Dellwo, V. (2023). Vocal effort in human interactions with voice-AI. Proceedings of the 20th International Congress of Phonetic Sciences (pp. 803–807). Guarant International. https://doi.org/10.5167/uzh-255338