Dmitrii Fedotov
Dmitrii Fedotov
Verified email at uni-ulm.de
Title
Cited by
Cited by
Year
Emotour: Estimating emotion and satisfaction of users based on behavioral cues and audiovisual data
Y Matsuda, D Fedotov, Y Takahashi, Y Arakawa, K Yasumoto, W Minker
Sensors 18 (11), 3978, 2018
152018
Multimodal speech recognition: increasing accuracy using high speed video data
D Ivanko, A Karpov, D Fedotov, I Kipyatkova, D Ryumin, D Ivanko, ...
Journal on Multimodal User Interfaces 12 (4), 319-328, 2018
112018
LSTM Based Cross-corpus and Cross-task Acoustic Emotion Recognition.
H Kaya, D Fedotov, A Yesilkanat, O Verkholyak, Y Zhang, A Karpov
Interspeech, 521-525, 2018
112018
Contextual dependencies in time-continuous multidimensional affect recognition
D Fedotov, D Ivanko, M Sidorov, W Minker
Proceedings of the Eleventh International Conference on Language Resources …, 2018
92018
Emotour: Multimodal emotion recognition using physiological and audio-visual features
Y Matsuda, D Fedotov, Y Takahashi, Y Arakawa, K Yasumoto, W Minker
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
52018
Towards estimating emotions and satisfaction level of tourist based on eye gaze and head movement
D Fedotov, Y Matsuda, Y Takahashi, Y Arakawa, K Yasumoto, W Minker
2018 IEEE International Conference on Smart Computing (SMARTCOMP), 399-404, 2018
52018
Predicting Depression and Emotions in the Cross-roads of Cultures, Para-linguistics, and Non-linguistics
H Kaya, D Fedotov, D Dresvyanskiy, M Doyran, D Mamontov, ...
Proceedings of the 9th International on Audio/Visual Emotion Challenge and …, 2019
42019
From smart to personal environment: integrating emotion recognition into smart houses
D Fedotov, Y Matsuda, W Minker
2019 IEEE International Conference on Pervasive Computing and Communications …, 2019
32019
Estimating user satisfaction impact in cities using physical reaction sensing and multimodal dialogue system
Y Matsuda, D Fedotov, Y Takahashi, Y Arakawa, K Yasumoto, W Minker
9th International Workshop on Spoken Dialogue System Technology, 177-183, 2019
32019
Towards real-time contextual touristic emotion and satisfaction estimation with wearable devices
D Fedotov, Y Matsuda, Y Takahashi, Y Arakawa, K Yasumoto, W Minker
2019 IEEE International Conference on Pervasive Computing and Communications …, 2019
22019
Context modeling for cross-corpus dimensional acoustic emotion recognition: Challenges and mixup
D Fedotov, H Kaya, A Karpov
International Conference on Speech and Computer, 155-165, 2018
22018
ACCURACY INCREASE FOR AUTOMATIC VISUAL RUSSIAN SPEECH RECOGNITION: VISEME CLASSES OPTIMIZATION
DV Ivanko, DV Fedotov, AA Karpov
Nauchno-Tekhnicheskii Vestnik Informatsionnykh Tekhnologii, Mekhaniki i …, 2018
22018
Context-awared models in time-continuous multidimensional affect recognition
D Fedotov, M Sidorov, W Minker
International Conference on Interactive Collaborative Robotics, 59-66, 2017
22017
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition
G Sogancıoglu, O Verkholyak, H Kaya, D Fedotov, T Cadée, AA Salah, ...
INTERSPEECH, Shanghai, China, 2020
12020
Time-Continuous Emotion Recognition Using Spectrogram Based CNN-RNN Modelling
D Fedotov, B Kim, A Karpov, W Minker
International Conference on Speech and Computer, 93-102, 2019
12019
Hierarchical Two-level Modelling of Emotional States in Spoken Dialog Systems
O Verkholyak, D Fedotov, H Kaya, Y Zhang, A Karpov
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
12019
Multimodal approach to engagement and disengagement detection with highly imbalanced in-the-wild data
D Fedotov, O Perepelkina, E Kazimirova, M Konstantinova, W Minker
Proceedings of the Workshop on Modeling Cognitive Processes from Multimodal …, 2018
12018
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition
G Soğancıoğlu, O Verkholyak, H Kaya, D Fedotov, T Cadèe, AA Salah, ...
arXiv preprint arXiv:2009.03432, 2020
2020
Institute of Communications Engineering Staff
M Bossert, R Fischer, W Minker, UC Fiebig, HP Großmann, J Lindner, ...
Sensors 20 (9), 2740, 2020
2020
A Comparative Study of Classical and Deep Classifiers for Textual Addressee Detection in Human-Human-Machine Conversations
O Akhtiamov, D Fedotov, W Minker
International Conference on Speech and Computer, 20-30, 2019
2019
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