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David van Leeuwen is a leading expert in automatic speech and language recognition. His research focuses on the automatic extraction of information from speech signals, specifically in areas such as speaker recognition and accent recognition. He emphasizes the importance of well-defined evaluation measures for speech databases and uses international benchmark evaluations as a framework for his research. Prof. van Leeuwen holds an endowed chair and has contributed significantly since 1994 as a researcher at TNO Human Factors, where he evaluated automatic speech recognition systems for various languages. In 2011, he worked with the Netherlands Forensic Institute, where he studied Bayesian approaches to presenting evidence in forensic cases. Since 2014, he has been involved with NovoLearning, which focuses on innovative learning methods, and since 2020, he has been associated with SpraakLab, a company dedicated to implementing speech technology applications.
Radboud University • Nijmegen, Netherlands
Holds an endowed chair and leads research in data science with a focus on speech and language technologies.
SpraakLab • Nijmegen, Netherlands
Works on the implementation of applications for speech technology.
Applies to Research Master's in Linguistics and Communication Sciences (Centre for Language Studies/Department of Language and Communication).