Tamás Grósz is a Lecturer in the Department of Computing and Mathematics at SETU. His research focuses on speech and language technologies, machine learning, and artificial intelligence, with particular interests in speech recognition, speech processing, and the application of deep learning to spoken language. He holds a PhD in Informatics from the University of Szeged, where his doctoral research focused on training methods for deep neural network-based acoustic models in speech recognition.
Before joining SETU, Tamás held research positions at Aalto University in Finland, Trinity College Dublin, and the Walton Institute, and also worked as a Speech Algorithm Engineer Consultant. He has extensive teaching and supervision experience, having taught courses in speech processing, machine learning, deep learning, natural language processing, robotics and programming, and supervised undergraduate, master's, and PhD students. His research has received international recognition through awards in speech and computational paralinguistics challenges and other academic distinctions.
