22.3.6.2.7 Audio-Visual Emotion, Audiovisual Emotion Recognition

Chapter Contents (Back)
Emotion Recognition. Audio-Visual.
See also Speech Recognition, Speech Analysis, Signal Processing.
See also Multi-Modal Emotion, Multimodal Emotion Recognition.

Wang, Y.J.[Yong-Jin], Guan, L.[Ling],
Recognizing Human Emotional State From Audiovisual Signals*,
MultMed(10), No. 5, August 2008, pp. 936-946.
IEEE DOI 0905
BibRef

Wang, Y.J.[Yong-Jin], Guan, L.[Ling],
Recognizing Human Emotional State From Audiovisual Signals,
MultMed(10), No. 4, June 2008, pp. 659-668.
IEEE DOI 0905
BibRef

Mower, E., Mataric, M.J., Narayanan, S.,
Human Perception of Audio-Visual Synthetic Character Emotion Expression in the Presence of Ambiguous and Conflicting Information,
MultMed(11), No. 5, 2009, pp. 843-855.
IEEE DOI 0907
BibRef

Wang, Y.J.[Yong-Jin], Guan, L.[Ling], Venetsanopoulos, A.N.,
Kernel Cross-Modal Factor Analysis for Information Fusion With Application to Bimodal Emotion Recognition,
MultMed(14), No. 3, 2012, pp. 597-607.
IEEE DOI 1202
BibRef

Wang, Y.J.[Yong-Jin], Zhang, R.[Rui], Guan, L.[Ling], Venetsanopoulos, A.N.,
Kernel Fusion of Audio and Visual Information for Emotion Recognition,
ICIAR11(II: 140-150).
Springer DOI 1106
BibRef

Metallinou, A.[Angeliki], Wollmer, M.[Martin], Katsamanis, A.[Athanasios], Eyben, F.[Florian], Schuller, B.[Bjorn], Narayanan, S.[Shrikanth],
Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification,
AffCom(3), No. 2, 2012, pp. 184-198.
IEEE DOI 1208
BibRef

Lin, J.C.[Jen-Chun], Wu, C.H.[Chung-Hsien], Wei, W.L.[Wen-Li],
Error Weighted Semi-Coupled Hidden Markov Model for Audio-Visual Emotion Recognition,
MultMed(14), No. 1, January 2012, pp. 142-156.
IEEE DOI 1201
BibRef

Rashid, M.[Munaf], Abu-Bakar, S.A.R., Mokji, M.[Musa],
Human emotion recognition from videos using spatio-temporal and audio features,
VC(29), No. 12, December 2013, pp. 1269-1275.
WWW Link. 1312
BibRef

v Mariooryad, S.[Soroosh], Busso, C.[Carlos],
Exploring Cross-Modality Affective Reactions for Audiovisual Emotion Recognition,
AffCom(4), No. 2, 2013, pp. 183-196.
IEEE DOI 1307
Entrainment BibRef

Wu, C.H.[Chung-Hsien], Lin, J.C.[Jen-Chun], Wei, W.L.[Wen-Li],
Two-Level Hierarchical Alignment for Semi-Coupled HMM-Based Audiovisual Emotion Recognition With Temporal Course,
MultMed(15), No. 8, December 2013, pp. 1880-1895.
IEEE DOI 1402
audio signal processing BibRef

Wöllmer, M.[Martin], Kaiser, M.[Moritz], Eyben, F.[Florian], Schuller, B.[Björn], Rigoll, G.[Gerhard],
LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework,
IVC(31), No. 2, February 2013, pp. 153-163.
Elsevier DOI 1303
Emotion recognition; Long Short-Term Memory; Facial movement features; Context modeling BibRef

Wu, C.H.[Chung-Hsien], Wei, W.L.[Wen-Li], Lin, J.C.[Jen-Chun], Lee, W.Y.[Wei-Yu],
Speaking Effect Removal on Emotion Recognition From Facial Expressions Based on Eigenface Conversion,
MultMed(15), No. 8, December 2013, pp. 1732-1744.
IEEE DOI 1402
Gaussian processes BibRef

Ringeval, F.[Fabien], Eyben, F.[Florian], Kroupi, E.[Eleni], Yuce, A.[Anil], Thiran, J.P.[Jean-Philippe], Ebrahimi, T.[Touradj], Lalanne, D.[Denis], Schuller, B.[Björn],
Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data,
PRL(66), No. 1, 2015, pp. 22-30.
Elsevier DOI 1511
Context-learning long short-term memory recurrent neural networks BibRef

Kim, J.C., Clements, M.A.,
Multimodal Affect Classification at Various Temporal Lengths,
AffCom(6), No. 4, October 2015, pp. 371-384.
IEEE DOI 1512
Audio-visual systems BibRef

Wei, W.L.[Wen-Li], Lin, J.C.[Jen-Chun], Wu, C.H.[Chung-Hsien],
Interaction Style Recognition Based on Multi-Layer Multi-View Profile Representation,
AffCom(8), No. 3, July 2017, pp. 355-368.
IEEE DOI 1709
Emotion recognition, Feature extraction, Pragmatics, Speech, Speech recognition, Support vector machines, Text recognition, Interaction style, dialogue system, dialogue topic, emotion, probabilistic, fusion BibRef

Turker, B.B., Yemez, Y., Sezgin, T.M., Erzin, E.,
Audio-Facial Laughter Detection in Naturalistic Dyadic Conversations,
AffCom(8), No. 4, October 2017, pp. 534-545.
IEEE DOI 1712
Bagging, Databases, Feature extraction, Hidden Markov models, Magnetic heads, naturalistic dyadic conversations BibRef

Georgakis, C.[Christos], Panagakis, Y.[Yannis], Zafeiriou, S.P.[Stefanos P.], Pantic, M.[Maja],
The Conflict Escalation Resolution (CONFER) Database,
IVC(65), No. 1, 2017, pp. 37-48.
Elsevier DOI 1709
BibRef
Earlier: A2, A3, A4, Only:
Audiovisual Conflict Detection in Political Debates,
FacBeh14(306-314).
Springer DOI 1504
Automatic conflict analysis BibRef

Seng, K.P., Ang, L.M., Ooi, C.S.,
A Combined Rule-Based Machine Learning Audio-Visual Emotion Recognition Approach,
AffCom(9), No. 1, January 2018, pp. 3-13.
IEEE DOI 1804
audio signal processing, cepstral analysis, emotion recognition, feature extraction, learning (artificial intelligence), rule-based BibRef

Zhang, S., Zhang, S., Huang, T., Gao, W., Tian, Q.,
Learning Affective Features With a Hybrid Deep Model for Audio-Visual Emotion Recognition,
CirSysVideo(28), No. 10, October 2018, pp. 3030-3043.
IEEE DOI 1811
Feature extraction, Emotion recognition, Visualization, Image segmentation, Machine learning, Databases, Convolution, multimodality fusion BibRef

Seng, K.P., Ang, L.M.,
Video Analytics for Customer Emotion and Satisfaction at Contact Centers,
HMS(48), No. 3, June 2018, pp. 266-278.
IEEE DOI 1805
Companies, Customer satisfaction, Emotion recognition, Speech, Speech recognition, Visualization, Customer experience, video analytics BibRef

Zhang, B., Provost, E.M., Essl, G.,
Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences,
AffCom(10), No. 1, January 2019, pp. 85-99.
IEEE DOI 1903
Emotion recognition, Training, Speech, Speech recognition, Acoustics, Training data, Data models, Emotion recognition, cross-corpus, multi-task learning BibRef

Noroozi, F., Marjanovic, M., Njegus, A., Escalera, S., Anbarjafari, G.,
Audio-Visual Emotion Recognition in Video Clips,
AffCom(10), No. 1, January 2019, pp. 60-75.
IEEE DOI 1903
Emotion recognition, Visualization, Feature extraction, Databases, Face, Neural networks, Mel frequency cepstral coefficient, convolutional neural networks BibRef

Meng, Z., Han, S., Tong, Y.,
Listen to Your Face: Inferring Facial Action Units from Audio Channel,
AffCom(10), No. 4, October 2019, pp. 537-551.
IEEE DOI 1912
Face recognition, Feature extraction, Speech recognition, Visualization, Image recognition, Facial action units, audio-based facial action unit recognition BibRef

Kim, Y., Provost, E.M.,
ISLA: Temporal Segmentation and Labeling for Audio-Visual Emotion Recognition,
AffCom(10), No. 2, April 2019, pp. 196-208.
IEEE DOI 1906
Speech, Emotion recognition, Speech recognition, Correlation, Labeling, Eyebrows, Visualization, Audio-visual, emotion, recognition, speech BibRef

Avots, E.[Egils], Sapinski, T.[Tomasz], Bachmann, M.[Maie], Kaminska, D.[Dorota],
Audiovisual emotion recognition in wild,
MVA(30), No. 5, July 2019, pp. 975-985.
Springer DOI 1907
BibRef

Basnet, R.[Ramesh], Islam, M.T.[Mohammad Tariqul], Howlader, T.[Tamanna], Rahman, S.M.M.[S. M. Mahbubur], Hatzinakos, D.[Dimitrios],
Estimation of affective dimensions using CNN-based features of audiovisual data,
PRL(128), 2019, pp. 290-297.
Elsevier DOI 1912
Convolutional neural network, Affective features, Emotional dimensions BibRef

Hajarolasvadi, N.[Noushin], Demirel, H.[Hasan],
Deep emotion recognition based on audio-visual correlation,
IET-CV(14), No. 7, October 2020, pp. 517-527.
DOI Link 2010
BibRef

Ghaleb, E., Popa, M., Asteriadis, S.,
Metric Learning-Based Multimodal Audio-Visual Emotion Recognition,
MultMedMag(27), No. 1, January 2020, pp. 37-48.
IEEE DOI 2004
Measurement, Emotion recognition, Visualization, Support vector machines, Feature extraction, Task analysis, Fisher vectors BibRef

Schoneveld, L.[Liam], Othmani, A.[Alice], Abdelkawy, H.[Hazem],
Leveraging recent advances in deep learning for audio-Visual emotion recognition,
PRL(146), 2021, pp. 1-7.
Elsevier DOI 2105
Human behavior recognition, Audiovisual emotion recognition, Affective computing, Video sequences, Deep learning BibRef

Nie, W.Z.[Wei-Zhi], Ren, M.J.[Min-Jie], Nie, J.[Jie], Zhao, S.C.[Si-Cheng],
C-GCN: Correlation Based Graph Convolutional Network for Audio-Video Emotion Recognition,
MultMed(23), 2021, pp. 3793-3804.
IEEE DOI 2110
Emotion recognition, Feature extraction, Correlation, Task analysis, Visualization, Face recognition, Convolution, multiple graphs BibRef

Nie, W.Z.[Wei-Zhi], Chang, R.[Rihao], Ren, M.J.[Min-Jie], Su, Y.T.[Yu-Ting], Liu, A.[Anan],
I-GCN: Incremental Graph Convolution Network for Conversation Emotion Detection,
MultMed(24), 2022, pp. 4471-4481.
IEEE DOI 2212
Correlation, Semantics, Social networking (online), Convolution, Transformers, Task analysis, Emotion recognition, GCN BibRef

Ren, M.J.[Min-Jie], Huang, X.D.[Xiang-Dong], Shi, X.Q.[Xiao-Qi], Nie, W.Z.[Wei-Zhi],
Interactive Multimodal Attention Network for Emotion Recognition in Conversation,
SPLetters(28), 2021, pp. 1046-1050.
IEEE DOI 2106
Visualization, Solid modeling, Acoustics, Task analysis, Emotion recognition, Convolution, Context modeling, recurrent neural network BibRef

Shirian, A.[Amir], Tripathi, S.[Subarna], Guha, T.[Tanaya],
Dynamic Emotion Modeling With Learnable Graphs and Graph Inception Network,
MultMed(24), 2022, pp. 780-790.
IEEE DOI 2202
Emotion recognition, Videos, Dynamics, Convolution, Databases, Task analysis, Speech recognition, Emotion recognition, inception network BibRef

Xu, Y.F.[Yi-Fan], Cui, Y.Q.[Yu-Qi], Jiang, X.[Xue], Yin, Y.J.[Ying-Jie], Ding, J.T.[Jing-Ting], Li, L.[Liang], Wu, D.[Dongrui],
Inconsistency-Based Multi-Task Cooperative Learning for Emotion Recognition,
AffCom(13), No. 4, October 2022, pp. 2017-2027.
IEEE DOI 2212
Task analysis, Multitasking, Estimation, Emotion recognition, Computational modeling, Speech recognition, Labeling, emotion recognition BibRef

Ren, M.J.[Min-Jie], Huang, X.D.[Xiang-Dong], Li, W.H.[Wen-Hui], Liu, J.[Jing],
Multi-loop graph convolutional network for multimodal conversational emotion recognition,
JVCIR(94), 2023, pp. 103846.
Elsevier DOI 2306
Conversational emotion recognition, Multi-modal sentiment analysis, Graph convolutional network BibRef

Ren, M.J.[Min-Jie], Huang, X.D.[Xiang-Dong], Liu, J.[Jing], Liu, M.[Ming], Li, X.Y.[Xuan-Ya], Liu, A.A.[An-An],
MALN: Multimodal Adversarial Learning Network for Conversational Emotion Recognition,
CirSysVideo(33), No. 11, November 2023, pp. 6965-6980.
IEEE DOI 2311
BibRef

Ren, M.J.[Min-Jie], Huang, X.D.[Xiang-Dong], Li, W.H.[Wen-Hui], Song, D.[Dan], Nie, W.Z.[Wei-Zhi],
LR-GCN: Latent Relation-Aware Graph Convolutional Network for Conversational Emotion Recognition,
MultMed(24), 2022, pp. 4422-4432.
IEEE DOI 2212
Correlation, Emotion recognition, Task analysis, Context modeling, Computer architecture, Transformers, Social networking (online), graph convolutional network BibRef

Goncalves, L.[Lucas], Busso, C.[Carlos],
Robust Audiovisual Emotion Recognition: Aligning Modalities, Capturing Temporal Information, and Handling Missing Features,
AffCom(13), No. 4, October 2022, pp. 2156-2170.
IEEE DOI 2212
Visualization, Emotion recognition, Feature extraction, Acoustics, Training, Transformers, Robustness, Multimodal emotion recognition, auxiliary networks BibRef

Kansizoglou, I.[Ioannis], Bampis, L.[Loukas], Gasteratos, A.[Antonios],
An Active Learning Paradigm for Online Audio-Visual Emotion Recognition,
AffCom(13), No. 2, April 2022, pp. 756-768.
IEEE DOI 2206
Feature extraction, Emotion recognition, Computer architecture, Visualization, Robots, Monitoring, Data mining, emotion in human-computer interaction BibRef

Mocanu, B.[Bogdan], Tapu, R.[Ruxandra], Zaharia, T.[Titus],
Multimodal emotion recognition using cross modal audio-video fusion with attention and deep metric learning,
IVC(133), 2023, pp. 104676.
Elsevier DOI 2305
Spatial attention, Channel attention, Temporal attention, Cross-modal fusion, Emotional metric constraint BibRef

Chen, G.H.[Guang-Hui], Jiao, S.[Shuang],
Speech-Visual Emotion Recognition by Fusing Shared and Specific Features,
SPLetters(30), 2023, pp. 678-682.
IEEE DOI 2307
Emotion recognition, Visualization, Feature extraction, Speech recognition, Mel frequency cepstral coefficient, feature fusion BibRef

Liu, Z.S.[Zhi-Song], Courant, R.[Robin], Kalogeiton, V.[Vicky],
Funnynet: Audiovisual Learning of Funny Moments in Videos,
ACCV22(IV:433-450).
Springer DOI 2307
BibRef

Wagner, J.[Johannes], Triantafyllopoulos, A.[Andreas], Wierstorf, H.[Hagen], Schmitt, M.[Maximilian], Burkhardt, F.[Felix], Eyben, F.[Florian], Schuller, B.W.[Björn W.],
Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap,
PAMI(45), No. 9, September 2023, pp. 10745-10759.
IEEE DOI 2309
BibRef

Li, X.[Xiaoke], Zhang, Z.[Zufan], Gan, C.Q.[Chen-Quan], Xiang, Y.[Yong],
Multi-Label Speech Emotion Recognition via Inter-Class Difference Loss Under Response Residual Network,
MultMed(25), 2023, pp. 3230-3244.
IEEE DOI 2309
BibRef

Chen, F.Y.[Fei-Yu], Shao, J.[Jie], Zhu, S.Y.[Shu-Yuan], Shen, H.T.[Heng Tao],
Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation,
CVPR23(10761-10770)
IEEE DOI 2309
BibRef

Li, W.[Wei], Li, Y.[Yang], Pandelea, V.[Vlad], Ge, M.[Mengshi], Zhu, L.[Luyao], Cambria, E.[Erik],
ECPEC: Emotion-Cause Pair Extraction in Conversations,
AffCom(14), No. 3, July 2023, pp. 1754-1765.
IEEE DOI 2310
BibRef

Tu, G.[Geng], Liang, B.[Bin], Jiang, D.[Dazhi], Xu, R.F.[Rui-Feng],
Sentiment- Emotion- and Context-Guided Knowledge Selection Framework for Emotion Recognition in Conversations,
AffCom(14), No. 3, July 2023, pp. 1803-1816.
IEEE DOI 2310
BibRef

Wang, F.F.[Fan-Fan], Ding, Z.X.[Zi-Xiang], Xia, R.[Rui], Li, Z.Y.[Zhao-Yu], Yu, J.F.[Jian-Fei],
Multimodal Emotion-Cause Pair Extraction in Conversations,
AffCom(14), No. 3, July 2023, pp. 1832-1844.
IEEE DOI 2310
BibRef

Jiang, D.[Dazhi], Wei, R.[Runguo], Wen, J.T.[Jin-Tao], Tu, G.[Geng], Cambria, E.[Erik],
AutoML-Emo: Automatic Knowledge Selection Using Congruent Effect for Emotion Identification in Conversations,
AffCom(14), No. 3, July 2023, pp. 1845-1856.
IEEE DOI 2310
BibRef

Aspandi, D.[Decky], Sukno, F.[Federico], Schuller, B.W.[Björn W.], Binefa, X.[Xavier],
Audio-Visual Gated-Sequenced Neural Networks for Affect Recognition,
AffCom(14), No. 3, July 2023, pp. 2193-2208.
IEEE DOI 2310
BibRef

Tellamekala, M.K.[Mani Kumar], Giesbrecht, T.[Timo], Valstar, M.[Michel],
Modelling Stochastic Context of Audio-Visual Expressive Behaviour With Affective Processes,
AffCom(14), No. 3, July 2023, pp. 2290-2303.
IEEE DOI 2310
BibRef

Latif, S.[Siddique], Rana, R.[Rajib], Khalifa, S.[Sara], Jurdak, R.[Raja], Schuller, B.W.[Björn W.],
Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition,
AffCom(14), No. 4, October 2023, pp. 3164-3176.
IEEE DOI 2312
BibRef

Lei, Y.Y.[Yuan-Yuan], Cao, H.[Houwei],
Audio-Visual Emotion Recognition With Preference Learning Based on Intended and Multi-Modal Perceived Labels,
AffCom(14), No. 4, October 2023, pp. 2954-2969.
IEEE DOI 2312
BibRef

Hsu, J.H.[Jia-Hao], Wu, C.H.[Chung-Hsien],
Applying Segment-Level Attention on Bi-Modal Transformer Encoder for Audio-Visual Emotion Recognition,
AffCom(14), No. 4, October 2023, pp. 3231-3243.
IEEE DOI 2312
BibRef

Zhang, D.[Duzhen], Chen, F.L.[Fei-Long], Chang, J.L.[Jian-Long], Chen, X.[Xiuyi], Tian, Q.[Qi],
Structure Aware Multi-Graph Network for Multi-Modal Emotion Recognition in Conversations,
MultMed(26), 2024, pp. 3987-3997.
IEEE DOI 2402
Emotion recognition, Context modeling, Feature extraction, Visualization, Acoustics, Oral communication, Transformers, emotion recognition in conversations BibRef

Li, J.[Jiang], Wang, X.P.[Xiao-Ping], Lv, G.Q.[Guo-Qing], Zeng, Z.G.[Zhi-Gang],
GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection,
AffCom(15), No. 1, January 2024, pp. 130-143.
IEEE DOI 2403
Emotion recognition, Context modeling, Acoustics, Computational modeling, Oral communication, Data models, multimodal fusion BibRef


Zhou, W.W.[Wei-Wei], Lu, J.[Jiada], Xiong, Z.[Zhaolong], Wang, W.F.[Wei-Feng],
Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognition,
ABAW23(5756-5763)
IEEE DOI 2309
BibRef

Mathur, L.[Leena], Adolphs, R.[Ralph], Mataric, M.J.[Maja J.],
Towards Intercultural Affect Recognition: Audio-Visual Affect Recognition in the Wild Across Six Cultures,
FG23(1-6)
IEEE DOI 2303
Training, Visualization, Systematics, Face recognition, Computational modeling, Gesture recognition, Robustness BibRef

Chumachenko, K.[Kateryna], Iosifidis, A.[Alexandros], Gabbouj, M.[Moncef],
Self-attention fusion for audiovisual emotion recognition with incomplete data,
ICPR22(2822-2828)
IEEE DOI 2212
Emotion recognition, Data analysis, Robustness, Data models, Noise measurement, Standards BibRef

Praveen, R.G.[R. Gnana], de Melo, W.C.[Wheidima Carneiro], Ullah, N.[Nasib], Aslam, H.[Haseeb], Zeeshan, O.[Osama], Denorme, T.[Théo], Pedersoli, M.[Marco], Koerich, A.L.[Alessandro L.], Bacon, S.[Simon], Cardinal, P.[Patrick], Granger, E.[Eric],
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition,
ABAW22(2485-2494)
IEEE DOI 2210
Correlation coefficient, Emotion recognition, Visualization, Correlation, Computational modeling, Predictive models, Feature extraction BibRef

Praveen, R.G.[R. Gnana], Granger, E.[Eric], Cardinal, P.[Patrick],
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition,
FG21(1-8)
IEEE DOI 2303
Emotion recognition, Face recognition, Computational modeling, Gesture recognition, Feature extraction, Fatigue BibRef

Zhang, S.[Su], An, R.[Ruyi], Ding, Y.[Yi], Guan, C.T.[Cun-Tai],
Continuous Emotion Recognition using Visual-audio-linguistic Information: A Technical Report for ABAW3,
ABAW22(2375-2380)
IEEE DOI 2210
Training, Correlation coefficient, Visualization, Emotion recognition, Fuses, Databases, Writing BibRef

Zhang, S.[Su], Ding, Y.[Yi], Wei, Z.Q.[Zi-Quan], Guan, C.T.[Cun-Tai],
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion,
ABAW21(3560-3567)
IEEE DOI 2112
Deep learning, Training, Correlation coefficient, Convolutional codes, Visualization, Emotion recognition, Databases BibRef

Antoniadis, P.[Panagiotis], Pikoulis, I.[Ioannis], Filntisis, P.P.[Panagiotis P.], Maragos, P.[Petros],
An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild,
ABAW21(3638-3644)
IEEE DOI 2112
Emotion recognition, Image resolution, Lighting, Streaming media, Feature extraction, Task analysis BibRef

Ji, X.[Xinya], Zhou, H.[Hang], Wang, K.[Kaisiyuan], Wu, W.[Wayne], Loy, C.C.[Chen Change], Cao, X.[Xun], Xu, F.[Feng],
Audio-Driven Emotional Video Portraits,
CVPR21(14075-14084)
IEEE DOI 2111
Correlation, Shape, Heuristic algorithms, Mouth, Pattern recognition, Faces BibRef

Ghaleb, E., Niehues, J., Asteriadis, S.,
Multimodal Attention-Mechanism For Temporal Emotion Recognition,
ICIP20(251-255)
IEEE DOI 2011
Emotion recognition, Visualization, Training, Human computer interaction, Faces, Fuses, attention, audiovisual emotion recognition BibRef

Aydin, B., Kindiroglu, A.A., Aran, O., Akarun, L.,
Automatic personality prediction from audiovisual data using random forest regression,
ICPR16(37-42)
IEEE DOI 1705
Correlation, Feature extraction, Social network services, Speech, Standards, Time-frequency analysis, Visualization BibRef

Noroozi, F., Marjanovic, M., Njegus, A., Escalera, S., Anbarjafari, G.,
Fusion of classifier predictions for audio-visual emotion recognition,
ICPR16(61-66)
IEEE DOI 1705
Databases, Emotion recognition, Eyebrows, Face, Feature extraction, Mouth, Visualization BibRef

Araujo, R.[Rodrigo], Kamel, M.S.[Mohamed S.],
Audio-Visual Emotion Analysis Using Semi-Supervised Temporal Clustering with Constraint Propagation,
ICIAR14(II: 3-11).
Springer DOI 1410
BibRef

Lu, K.[Kun], Jia, Y.D.[Yun-De],
Audio-visual emotion recognition with boosted coupled HMM,
ICPR12(1148-1151).
WWW Link. 1302
BibRef
And:
Audio-visual emotion recognition using Boltzmann Zippers,
ICIP12(2589-2592).
IEEE DOI 1302
BibRef

Pitas, I., Kotsia, I., Martin, O., Macq, B.,
The eNTERFACE-05 Audio-Visual Emotion Database,
ICDEW06(8).
IEEE DOI BibRef 0600

Xiao, Z.Z.[Zhong-Zhe], Dellandrea, E., Dou, W.B.[Wei-Bei], Chen, L.M.[Li-Ming],
Features extraction and selection for emotional speech classification,
AVSBS05(411-416).
IEEE DOI 0602
BibRef

Chen, L.S.[Lawrence S.], Huang, T.S.[Thomas S.],
Emotional Expressions In Audiovisual Human Computer Interaction,
ICME00(MP7). 0007
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Multi-Modal Emotion, Multimodal Emotion Recognition .


Last update:May 6, 2024 at 15:50:14