I am working in collaboration with Nederlands Instituut voor Beeld & Geluid (Netherlands Institute for Sound & Vision) on the Oral History - Stories at the Museum around Artworks (OH-SMArt) project. OH-SMArt is a long term initiative to significantly improve the digital research chain around using Oral History and spoken narratives, with research into artworks and museums as a use case. My role within this project is to evaluate state-of-the-art speech recognition models such as Whisper and XLS-R and propose and implement one of the models as an automatic transcriber within the infrastructure of the Institute which can be used as a tool by researchers working with digital media archives to automatically transcribe Oral History interviews or other audiovisual content present in the Institute's digital archive.
As about my background, I studied the Bachelor of Computer Science & Engineering at TU Delft and the Voice Technology Master at University of Groningen - Campus Fryslân. My master's thesis topic is using state-of-the-art models (mainly XLS-R) for Frisian Automatic Speech Recognition.
My general interests are speech technology-related, focusing on speech recognition for low-resource contexts (languages, groups of speakers, etc.), as well as speech recognition methods to transcribe big data.
Expertise
Computer Science
- Benchmarking
- Research Infrastructure
- Speech Recognition
- Informed Choice
- Infrastructure Provider
- Starting Point
- Use Case
Earth and Planetary Sciences
- State of the Art
Organisations
My general research interest is Automatic Speech Recognition, with a focus on large-scale processing within Research Infrastructures and for the Dutch language.
Publications
2025
2024
Research profiles
Address

University of Twente
Citadel (building no. 09), room H234
Hallenweg 15
7522 NH Enschede
Netherlands
University of Twente
Citadel H234
P.O. Box 217
7500 AE Enschede
Netherlands