McKeown, G.,
Valstar, M.F.,
Cowie, R.,
Pantic, M.,
Schroder, M.,
The SEMAINE Database: Annotated Multimodal Records of Emotionally
Colored Conversations between a Person and a Limited Agent,
AffCom(3), No. 1, 2012, pp. 5-17.
IEEE DOI
1202
BibRef
Benyon, D.,
Gamback, B.,
Hansen, P.,
Mival, O.,
Webb, N.,
How Was Your Day? Evaluating a Conversational Companion,
AffCom(4), No. 3, July 2013, pp. 299-311.
IEEE DOI
1404
human computer interaction
BibRef
Stolar, M.N.,
Lech, M.,
Sheeber, L.B.,
Burnett, I.S.,
Allen, N.B.,
Introducing Emotions to the Modeling of Intra- and Inter-Personal
Influences in Parent-Adolescent Conversations,
AffCom(4), No. 4, October 2013, pp. 372-385.
IEEE DOI
1406
behavioural sciences computing
BibRef
Huang, X.D.[Xiang-Dong],
Ren, M.J.[Min-Jie],
Han, Q.K.[Qian-Kun],
Shi, X.Q.[Xiao-Qi],
Nie, J.[Jie],
Nie, W.Z.[Wei-Zhi],
Liu, A.A.[An-An],
Emotion Detection for Conversations Based on Reinforcement Learning
Framework,
MultMedMag(28), No. 2, April 2021, pp. 76-85.
IEEE DOI
2107
Feature extraction, Reinforcement learning, Data mining, Acoustics,
Logic gates, Context modeling, Uncertainty
BibRef
Phan, D.A.[Duc-Anh],
Matsumoto, Y.J.[Yu-Ji],
Shindo, H.[Hiroyuki],
Autoencoder for Semisupervised Multiple Emotion Detection of
Conversation Transcripts,
AffCom(12), No. 3, July 2021, pp. 682-691.
IEEE DOI
2109
Motion pictures, Correlation, Social network services,
Neural networks, Context modeling, Data models, Training data,
autoencoder
BibRef
Zhang, H.Q.[Han-Qing],
Song, D.W.[Da-Wei],
Towards Contrastive Context-Aware Conversational Emotion Recognition,
AffCom(13), No. 4, October 2022, pp. 1879-1891.
IEEE DOI
2212
Context modeling, Semantics, Emotion recognition,
Oral communication, Training, Robustness, contrastive learning
BibRef
Hu, J.X.[Jia-Xiong],
Huang, Y.[Yun],
Hu, X.Z.[Xiao-Zhu],
Xu, Y.Q.[Ying-Qing],
The Acoustically Emotion-Aware Conversational Agent With Speech
Emotion Recognition and Empathetic Responses,
AffCom(14), No. 1, January 2023, pp. 17-30.
IEEE DOI
2303
Emotion recognition, Speech recognition, Databases,
Sentiment analysis, Games, Convolutional neural networks,
intelligent agents
BibRef
Lian, Z.[Zheng],
Liu, B.[Bin],
Tao, J.H.[Jian-Hua],
SMIN: Semi-Supervised Multi-Modal Interaction Network for
Conversational Emotion Recognition,
AffCom(14), No. 3, July 2023, pp. 2415-2429.
IEEE DOI
2310
BibRef
Hou, M.X.[Mi-Xiao],
Zhang, Z.[Zheng],
Liu, C.[Chang],
Lu, G.M.[Guang-Ming],
Semantic Alignment Network for Multi-Modal Emotion Recognition,
CirSysVideo(33), No. 9, September 2023, pp. 5318-5329.
IEEE DOI Code:
WWW Link.
2310
BibRef
Dai, Y.J.[Yi-Jing],
Li, Y.J.[Ying-Jian],
Chen, D.P.[Dong-Peng],
Li, J.X.[Jin-Xing],
Lu, G.M.[Guang-Ming],
Multimodal Decoupled Distillation Graph Neural Network for Emotion
Recognition in Conversation,
CirSysVideo(34), No. 10, October 2024, pp. 9910-9924.
IEEE DOI Code:
WWW Link.
2411
Emotion recognition, Graph neural networks, Context modeling,
Message passing, Visualization, multimodal fusion
BibRef
Li, J.[Jiang],
Wang, X.P.[Xiao-Ping],
Lv, G.Q.[Guo-Qing],
Zeng, Z.G.[Zhi-Gang],
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation
Approach for Multimodal Conversational Emotion Recognition,
MultMed(26), 2024, pp. 77-89.
IEEE DOI
2401
BibRef
Yang, K.[Kailai],
Zhang, T.[Tianlin],
Ananiadou, S.[Sophia],
Disentangled Variational Autoencoder for Emotion Recognition in
Conversations,
AffCom(15), No. 2, April 2024, pp. 508-518.
IEEE DOI
2406
Task analysis, Emotion recognition, Hidden Markov models,
Context modeling, Decoding, Oral communication,
disentangled representations
BibRef
Lu, N.N.[Nan-Nan],
Han, Z.Y.[Zhi-Yuan],
Tan, Z.[Zhen],
A Hypergraph Based Contextual Relationship Modeling Method for
Multimodal Emotion Recognition in Conversation,
MultMed(27), 2025, pp. 2243-2255.
IEEE DOI
2505
Emotion recognition, Context modeling, Oral communication, Data models,
Long short term memory, Feature extraction, Semantics, hypergraph convolution
BibRef
Chien, W.S.[Woan-Shiuan],
Upadhyay, S.G.[Shreya G.],
Lin, W.C.[Wei-Cheng],
Busso, C.[Carlos],
Lee, C.C.[Chi-Chun],
Differential Impacts of Monologue and Conversation on Speech Emotion
Recognition,
AffCom(16), No. 2, April 2025, pp. 485-498.
IEEE DOI
2506
Emotion recognition, Acoustics, Databases, Oral communication,
Training, Speech recognition, Affective computing, Data collection,
acoustic variability
BibRef
Shou, Y.T.[Yun-Tao],
Liu, H.[Huan],
Cao, X.[Xiangyong],
Meng, D.Y.[De-Yu],
Dong, B.[Bo],
A Low-Rank Matching Attention Based Cross-Modal Feature Fusion Method
for Conversational Emotion Recognition,
AffCom(16), No. 2, April 2025, pp. 1177-1189.
IEEE DOI
2506
Feature extraction, Emotion recognition, Transformers, Vectors,
Semantics, Tensors, Fuses, Computational complexity, Overfitting,
multimodal emotion recognition
BibRef
Oh, H.S.[Hyung-Seok],
Lee, S.H.[Sang-Hoon],
Cho, D.H.[Deok-Hyeon],
Lee, S.W.[Seong-Whan],
DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging
Discrete Representations Without Text Alignment,
AffCom(16), No. 3, July 2025, pp. 1660-1674.
IEEE DOI
2509
Feature extraction, Autoencoders, Context modeling, Transformers,
Acoustics, Speech recognition, Computational modeling, Vocoders,
style disentanglement
BibRef
Chu, Y.Q.[Yu-Qi],
Liao, L.[Lizi],
Zhou, Z.Y.[Zhi-Yuan],
Ngo, C.W.[Chong-Wah],
Hong, R.C.[Ri-Chang],
Towards Multimodal Emotional Support Conversation Systems,
MultMed(27), 2025, pp. 8276-8287.
IEEE DOI
2511
Emotion recognition, Mental health, Artificial intelligence,
Videos, Employee welfare, Conversational artificial intelligence,
multimodality
BibRef
Cao, Y.[YuKun],
Huang, L.[Luobin],
Tang, Y.J.[Yi-Jia],
PeTracker: Poincaré-Based Dual-Strategy Emotion Tracker for Emotion
Recognition in Conversation,
AffCom(16), No. 3, July 2025, pp. 2020-2032.
IEEE DOI
2509
Emotion recognition, Contrastive learning, Semantics,
Context modeling, Oral communication, Feature extraction, Training,
emotion recognition in conversation
BibRef
Shen, S.Y.[Si-Yuan],
Liu, F.[Feng],
Wang, H.Y.[Han-Yang],
Zhou, A.[Aimin],
Towards Speaker-Unknown Emotion Recognition in Conversation via
Progressive Contrastive Deep Supervision,
AffCom(16), No. 3, July 2025, pp. 2261-2273.
IEEE DOI
2509
Emotion recognition, Training, Feature extraction,
Oral communication, Speaker recognition, Affective computing,
deep supervision
BibRef
Yang, Z.Y.[Zhen-Yu],
Zhang, Z.B.[Zhi-Bo],
Cheng, Y.[Yuhu],
Zhang, T.[Tong],
Wang, X.S.[Xue-Song],
Semantic and Emotional Dual Channel for Emotion Recognition in
Conversation,
AffCom(16), No. 3, July 2025, pp. 1885-1902.
IEEE DOI
2509
Emotion recognition, Semantics, Context modeling, Accuracy,
Knowledge engineering, Data mining, Analytical models,
dialogue emotion propagation graph
BibRef
Tu, G.[Geng],
Jing, R.[Ran],
Liang, B.[Bin],
Yu, Y.[Yue],
Yang, M.[Min],
Qin, B.[Bing],
Xu, R.F.[Rui-Feng],
Generalizing to Unseen Speakers: Multimodal Emotion Recognition in
Conversations With Speaker Generalization,
AffCom(16), No. 4, October 2025, pp. 3043-3054.
IEEE DOI
2512
Uncertainty, Prototypes, Emotion recognition, Context modeling,
Visualization, Training, Oral communication, Graph neural networks,
contrastive learning
BibRef
Rao, Y.J.[Yu-Jing],
Cao, M.[Min],
Ye, M.[Mang],
Contextual Graph Reconstruction and Emotional Variation Learning for
Conversational Emotion Recognition,
AffCom(16), No. 4, October 2025, pp. 3067-3080.
IEEE DOI
2512
Emotion recognition, Image reconstruction, Context modeling,
Oral communication, Affective computing, Data mining,
emotional variation
BibRef
Lai, Q.F.[Qi-Feng],
Liu, H.[Han],
Li, Y.M.[Yuan-Man],
Gong, Z.G.[Zhi-Guo],
Wang, W.[Wei],
Emotions Like Human: Self-Supervised Emotion Label Augmentation for
Emotion Recognition in Conversation,
AffCom(17), No. 1, January 2026, pp. 817-828.
IEEE DOI
2603
Emotion recognition, Context modeling, Training,
Computational modeling, Fuses, Data models, natural language processing
BibRef
An, X.C.[Xiao-Chun],
Zhang, X.[Xu],
Li, X.[Xiaoge],
Pei, E.[Ercheng],
Yan, Q.L.[Qing-Li],
He, L.[Lang],
LLM-driven fine-grained emotion parsing and parameterized mapping for
conversational TTS,
PR(179), 2026, pp. 113544.
Elsevier DOI
2606
Conversational TTS, Large language models(LLMs),
Fine-grained emotion parsing, Parameterized mapping, Prompt enhancement
BibRef
Suh, J.[Jina],
Le, L.[Lindy],
Shayegani, E.[Erfan],
Ramos, G.[Gonzalo],
Amores, J.[Judith],
Ong, D.C.[Desmond C.],
Czerwinski, M.[Mary],
Hernandez, J.[Javier],
SENSE-7: Taxonomy and Dataset for Measuring User Perceptions of
Empathy in Sustained Human-AI Conversations,
AffCom(17), No. 2, April 2026, pp. 2227-2244.
IEEE DOI
2606
Artificial intelligence, Oral communication, Taxonomy, Psychology,
Annotations, Accuracy, Large language models, Affective computing, dataset
BibRef
Guo, L.[Lili],
Cui, Y.[Yanan],
Song, Y.K.[Yi-Kang],
Hou, H.W.[Hai-Wei],
Ding, S.F.[Shi-Fei],
EmoKEG: Knowledge-enhanced heterogeneous graph for emotion
recognition in conversation,
PR(179), 2026, pp. 113500.
Elsevier DOI
2606
Emotion recognition in conversation,
COMET Knowledge extraction, Common knowledge
BibRef
Chudasama, V.[Vishal],
Kar, P.[Purbayan],
Gudmalwar, A.[Ashish],
Shah, N.[Nirmesh],
Wasnik, P.[Pankaj],
Onoe, N.[Naoyuki],
M2FNet: Multi-modal Fusion Network for Emotion Recognition in
Conversation,
MULA22(4651-4660)
IEEE DOI
2210
Human computer interaction, Emotion recognition, Visualization,
Adaptation models, Benchmark testing, Feature extraction, Robustness
BibRef
Rahman, A.K.M.M.[A.K.M. Mahbubur],
Tanveer, M.I.[M. Iftekhar],
Anam, A.I.[Asm Iftekhar],
Yeasin, M.[Mohammed],
IMAPS: A smart phone based real-time framework for prediction of affect
in natural dyadic conversation,
VCIP12(1-6).
IEEE DOI
1302
BibRef
Aubrey, A.J.[Andrew J.],
Marshall, D.[David],
Rosin, P.L.[Paul L.],
Vendeventer, J.[Jason],
Cunningham, D.W.[Douglas W.],
Wallraven, C.[Christian],
Cardiff Conversation Database (CCDb):
A Database of Natural Dyadic Conversations,
LV13(277-282)
IEEE DOI
1309
Dataset, Facial Expressions. Conversations; Database; Facial Expressions
BibRef
Marcos-Ramiro, A.,
Pizarro-Perez, D.,
Marron-Romera, M.,
Nguyen, L.,
Gatica-Perez, D.[Daniel],
Body communicative cue extraction for conversational analysis,
FG13(1-8)
IEEE DOI
1309
feature extraction. Non-verbal communication. Gestures, etc.
BibRef
Escalera, S.[Sergio],
Puertas, E.[Eloi],
Radeva, P.I.[Petia I.],
Pujol, O.[Oriol],
Multi-modal laughter recognition in video conversations,
CVPR4HB09(110-115).
IEEE DOI
0906
BibRef
Chapter on Face Recognition, Human Pose, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Emotion Recognition, from Other Than Faces, Speech Emotion .