Matt Coler ☕️
Matt Coler

Associate Professor of Speech Technology

About Me

I am an Associate Professor of Speech Technology at Campus Fryslân, University of Groningen, where I direct the MSc Speech Technology program and chair the faculty Research Institute. I earned my PhD from the Free University of Amsterdam in 2010 and previously led cognitive systems at an AI startup specializing in acoustic sensors. I also served as Vice Chair of the LITHME COST Action.

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Interests
  • Speech Technology
  • Language Diversity
  • Auditory perception
  • Ethics in AI
Education
  • PhD Linguistics

    Free University Amsterdam

  • MA Linguistics (cum laude)

    Free University Amsterdam

  • Graduate Studies

    New York University

  • BA Philosophy & Chinese

    University of Massachusetts

📚 My Research

My research focuses on speech technology with special emphasis on under-resourced languages and small data. I’m particularly committed to the ethical dimensions of speech technology, serving as Ethics Chair for INTERSPEECH 2025 and as a Working Group Member for the Coalition for Advancing Research Assessment’s ethics initiative “Ethics and Research Integrity Policy”.

I explore the responsible development of AI systems for speech, ensuring that technological advances benefit linguistic diversity rather than diminish it. I welcome collaboration opportunities at the intersection of speech technology, linguistics, and ethical AI development. 🔊

Featured Publications
Recent Publications
(2025). Enhancing Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance. ICASSP 2025.
(2025). Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance. arXiv.
(2024). AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation. arXiv.
(2024). Lexical Stress Identification in Cochlear Implant-Simulated Speech by Non-Native Listeners. Lang. Speech.
(2024). Fine-Tuning Strategies for Dutch Dysarthric Speech Recognition: Evaluating the Impact of Healthy, Disease-Specific, and Speaker-Specific Data. In Interspeech 2024.
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