EEMCS-CS-HMI
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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

Benchmarking State-of-the-Art Automatic Speech Recognition systems for Dutch (2025)[Contribution to conference › Poster] 3rd Dutch Speech Tech Day. Bălan, D. A., Truong, K. P. & Ordelman, R. J. F.

2024

Benchmarking and Research Infrastructures: Evaluating Dutch Automatic Speech Recognition (2024)In CLARIN Annual Conference Proceedings (pp. 140-143). Bălan, D. A., Truong, K. P., van den Heuvel, H. & Ordelman, R. J. F.https://www.clarin.eu/sites/default/files/CLARIN2024_ConferenceProceedings_final.pdfEvaluating the State-of-the-Art Automatic Speech Recognition systems for Dutch (2024)[Contribution to conference › Abstract] 34th Meeting of Computational Linguistics in The Netherlands, CLIN 2024. Bălan, D. A., Ordelman, R. J. F. & Truong, K. P.https://clin34.leidenuniv.nl/abstracts/evaluating-the-state-of-the-art-automatic-speech-recognition-systems-for-dutch/A Systematic Benchmark for Dutch Automatic Speech Recognition (2024)[Contribution to conference › Poster] CLARIAH Annual Conference 2024. Bălan, D. A., Ordelman, R. J. F. & van den Heuvel, H.

Research profiles

Address

University of Twente

Citadel (building no. 09), room H234
Hallenweg 15
7522 NH Enschede
Netherlands

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Organisations

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