Regular biography
Prof. Dr. Gerhard Rigoll is affiliated with the Technical University of Munich in the Department of Mechanical Engineering. His research interests include Human-Machine Communication, with a focus on multimodal interaction, speech processing, and visual information processing. He has authored over 500 publications and has contributed to numerous program committees and peer reviews. Rigoll has held academic positions at various institutions, including the Gerhard-Mercator-Universität Duisburg and the TUM, where he has been since 2002. He is an IEEE Fellow and has received several awards, including the DAGM Prize and the Heisenberg Stipendium.
Scholar-generated biography
Gerhard Rigoll is a Professor for Human-Machine Communication at TU München, specializing in multi-modal human-machine communication. His research focuses on integrating various modalities such as speech, gesture, and visual data to enhance human-computer interaction. He has published extensively on topics including speech emotion recognition, background segmentation, and gait recognition using deep learning techniques. His work emphasizes the development of robust and efficient algorithms for real-time applications, leveraging technologies like convolutional neural networks and hybrid models. Rigoll's research also explores the integration of acoustic and linguistic features for emotion recognition and the use of multimodal data for speaker adaptation and face recognition.