Gerhard Rigoll
Gerhard Rigoll is a computer scientist whose work connects neural networks with speech recognition and multimodal human-machine communication. He studied technical cybernetics at Stuttgart, researched speech and AI at Fraunhofer, and continued speech-recognition work at IBM and NTT before professorships in Duisburg and Munich. His 1994 paper proposed a mutual-information neural-network method for hybrid HMM speech recognition; in 2014, he coauthored an acoustic gait-identification system, and IEEE made him a Fellow in 2019 for contributions to multimodal human-machine communication. At TUM, he is professor emeritus in human-machine communication and coauthors 2026 work on future trajectory prediction.
Timeline
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1976–1982
Technical cybernetics at Stuttgart
He studies technical cybernetics at the University of Stuttgart and earns his diploma in 1982.
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1982–1986
Speech and AI at Fraunhofer
He joins Fraunhofer's Department of Advanced Information and Communication Technologies in Stuttgart as a research assistant in 1982 and works on digital speech processing, speech synthesis, speech recognition and artificial intelligence through 1986. He earns a doctorate in automatic speech recognition at Stuttgart in 1986.
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1986–1993
IBM and NTT research
He holds an IBM postdoctoral fellowship at IBM Thomas Watson Research Center's Continuous Speech Recognition Group from 1986 to 1988. At NTT Human Interface Laboratories in Tokyo, he works on neurocomputing, speech recognition and pattern recognition as a visiting scientist from 1991 to 1993.
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1993–2001
Professor in Duisburg
He becomes professor of computer engineering at Gerhard Mercator University in Duisburg in 1993 and holds the post through 2001.
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1994
Mutual-information speech recognition
In 1994, he proposes a hybrid connectionist-HMM speech recognizer that uses an unsupervised neural network as a vector quantizer; the paper reports a 25% error reduction against an HMM using a standard k-means vector quantizer.
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2002
Human-machine communication at TUM
He joins TUM as a full professor of human-machine communication in 2002, moving from the computer-engineering professorship in Duisburg.
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2013–2019
Gait recognition and an IEEE Fellowship
At ICASSP 2013, he coauthors a gait-based person-identification paper with Jürgen T. Geiger, Martin Hofmann and Björn Schuller. In 2014, he coauthors an acoustic gait-identification system with Jürgen T. Geiger, Maximilian Kneißl and Björn Schuller, using cepstral features and hidden Markov models on the TUM GAID database. In 2019, he becomes an IEEE Fellow for contributions to multimodal human-machine communication.
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As of October 2026
Professor emeritus at TUM
He is professor emeritus of human-machine communication at TUM. In 2026, he coauthors a paper on cooperative fusion of future trajectory predictions across infrastructure and vehicles.
Career
- Since 2002Technical University of MunichFull Professor of Human-Machine Communication
- 1994–2002University of Duisburg-Essen
- 1993–2001Gerhard Mercator UniversityProfessor of Computer Engineering
- 1991–1993NTTVisiting Scientist
- 1986–1988IBM ResearchPostdoctoral Fellow
- 1986–1990Fraunhofer-Gesellschaft
Education
- 1982University of StuttgartDiploma in technical cybernetics
Sources and credits
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- Tabular CV - Chair of Human-Machine Communication
- Gerhard Rigoll - Professorial Faculty of TUM
- Maximum Mutual Information Neural Networks For Hybrid Connectionist-Hmm Speech Recognition Systems
- ICASSP 2013 | 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing | May 26-31, 2013 | Vancouver, Canada
- Acoustic Gait-based Person Identification using Hidden Markov Models
- Prof. Rigoll has been recently appointed to IEEE Fellow! - Chair of Human-Machine Communication
- Gerhard Rigoll - Technical University of Munich




