I am working in collaboration with Nederlands Instituut voor Beeld & Geluid (National 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 project which can be used as a tool by researchers working with digital media archives to automatically transcribe Oral History interviews.
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.).
Expertise
Earth and Planetary Sciences
- Speech Recognition
- State of the Art
- Multimission Modular Spacecraft
- Belgium
- Netherlands
Engineering
- Automatic Speech Recognition
Computer Science
- Broadcast News
Organisations
Publications
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
Organisations
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