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Gerhard Rigoll
Gerhard Rigoll
Professor for Human-Machine Communication, TU München
Bestätigte E-Mail-Adresse bei gerhard-rigoll.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Hidden Markov model-based speech emotion recognition
B Schuller, G Rigoll, M Lang
2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003
8142003
Background segmentation with feedback: The pixel-based adaptive segmenter
M Hofmann, P Tiefenbacher, G Rigoll
2012 IEEE computer society conference on computer vision and pattern …, 2012
7222012
SVC2004: First international signature verification competition
DY Yeung, H Chang, Y Xiong, S George, R Kashi, T Matsumoto, G Rigoll
Biometric Authentication: First International Conference, ICBA 2004, Hong …, 2004
5842004
Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture
B Schuller, G Rigoll, M Lang
2004 IEEE international conference on acoustics, speech, and signal …, 2004
5562004
Cross-corpus acoustic emotion recognition: Variances and strategies
B Schuller, B Vlasenko, F Eyben, M Wöllmer, A Stuhlsatz, A Wendemuth, ...
IEEE Transactions on Affective Computing 1 (2), 119-131, 2010
3932010
A deep convolutional neural network for video sequence background subtraction
M Babaee, DT Dinh, G Rigoll
Pattern Recognition 76, 635-649, 2018
3512018
Acoustic emotion recognition: A benchmark comparison of performances
B Schuller, B Vlasenko, F Eyben, G Rigoll, A Wendemuth
2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 552-557, 2009
3232009
LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework
M Wöllmer, M Kaiser, F Eyben, B Schuller, G Rigoll
Image and Vision Computing 31 (2), 153-163, 2013
3062013
Speaker adaptation for large vocabulary speech recognition systems using speaker Markov models
G Rigoll
International Conference on Acoustics, Speech, and Signal Processing,, 5-8, 1989
2431989
Recognition of JPEG compressed face images based on statistical methods
S Eickeler, S Müller, G Rigoll
Image and Vision Computing 18 (4), 279-287, 2000
2232000
Being bored? Recognising natural interest by extensive audiovisual integration for real-life application
B Schuller, R Müller, F Eyben, J Gast, B Hörnler, M Wöllmer, G Rigoll, ...
Image and Vision Computing 27 (12), 1760-1774, 2009
2222009
The TUM Gait from Audio, Image and Depth (GAID) database: Multimodal recognition of subjects and traits
M Hofmann, J Geiger, S Bachmann, B Schuller, G Rigoll
Journal of Visual Communication and Image Representation 25 (1), 195-206, 2014
2192014
Speaker independent emotion recognition by early fusion of acoustic and linguistic features within ensembles
B Schuller, R Müller, M Lang, G Rigoll
1892005
Multi-view gait recognition using 3D convolutional neural networks
T Wolf, M Babaee, G Rigoll
2016 IEEE international conference on image processing (ICIP), 4165-4169, 2016
1882016
Combining long short-term memory and dynamic bayesian networks for incremental emotion-sensitive artificial listening
M Wöllmer, B Schuller, F Eyben, G Rigoll
IEEE Journal of selected topics in signal processing 4 (5), 867-881, 2010
1882010
High performance real-time gesture recognition using hidden markov models
G Rigoll, A Kosmala, S Eickeler
Gesture and Sign Language in Human-Computer Interaction: International …, 1998
1851998
Speaker independent speech emotion recognition by ensemble classification
B Schuller, S Reiter, R Muller, M Al-Hames, M Lang, G Rigoll
2005 IEEE international conference on multimedia and expo, 864-867, 2005
1832005
Hidden markov model based continuous online gesture recognition
S Eickeler, A Kosmala, G Rigoll
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat …, 1998
1781998
A systematic comparison between on-line and off-line methods for signature verification with hidden Markov models
G Rigoll, A Kosmala
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat …, 1998
1541998
Real-time hand gesture detection and classification using convolutional neural networks
O Köpüklü, A Gunduz, N Kose, G Rigoll
2019 14th IEEE international conference on automatic face & gesture …, 2019
1532019
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