معرفی
Stefan Goetze is a Visiting Professor in the Department of Computer Science at the University of Sheffield, affiliated with the Speech and Hearing (SpandH) research group. He previously held a Senior Lecturer position from 2020 to 2025. He earned his Dipl.-Ing. (2004) and Dr.-Ing. (2013) in Electrical/Communication Engineering from the University of Bremen, Germany. Prior to his academic role at Sheffield, he led departments at the Fraunhofer-Institute for Digital Media Technology IDMT in Oldenburg, Germany, including the "Audio System Technology for Audiology and Assistive Systems" and "Automatic Speech Recognition" groups. His research focuses on machine learning, signal processing, and assistive technologies, particularly in speech enhancement, dereverberation, and hearing aid systems. He supervises multiple PhD students and has contributed to grants such as the "Participatory co-design of a platform for collecting atypical speech data" (2022). His work spans acoustic event detection, audiovisual processing, and medical applications of speech technology.
Key research interests include robust speech recognition in reverberant environments, noise reduction, and the application of deep learning to audio challenges. Notable publications address speech separation models, metric-driven enhancement, and active learning for sound classification. Collaborations include projects on assistive living technologies and healthcare communication systems.
