21.3.6.3.1 Emotion Recognition, from Other Than Faces

Chapter Contents (Back)
Emotion Recognition. See also Signal Processing, Speech Recognition, Speech Analysis.

Kim, J.H.[Jong-Hwa], André, E.[Elisabeth],
Emotion Recognition Based on Physiological Changes in Music Listening,
PAMI(30), No. 12, December 2008, pp. 2067-2083.
IEEE DOI 0811
Biosensors to recognize effects. BibRef

Sobol-Shikler, T.[Tal], Robinson, P.[Peter],
Classification of Complex Information: Inference of Co-Occurring Affective States from Their Expressions in Speech,
PAMI(32), No. 7, July 2010, pp. 1284-1297.
IEEE DOI 1006
BibRef

Alvarez, M., Galan, R., Matia, F., Rodriguez-Losada, D., Jimenez, A.,
An Emotional Model for a Guide Robot,
SMC-A(40), No. 5, September 2010, pp. 982-992.
IEEE DOI 1008
BibRef

El-Ayadi, M.[Moataz], Kamel, M.S.[Mohamed S.], Karray, F.[Fakhri],
Survey on speech emotion recognition: Features, classification schemes, and databases,
PR(44), No. 3, March 2011, pp. 572-587.
Elsevier DOI 1011
Award, Pattern Recognition, Best Paper. Archetypal emotions; Speech emotion recognition; Statistical classifiers; Dimensionality reduction techniques; Emotional speech databases BibRef

Ntalampiras, S., Fakotakis, N.[Nikos],
Modeling the Temporal Evolution of Acoustic Parameters for Speech Emotion Recognition,
AffCom(3), No. 1, 2012, pp. 116-125.
IEEE DOI 1202
BibRef

Koelstra, S.[Sander], Patras, I.[Ioannis],
Fusion of facial expressions and EEG for implicit affective tagging,
IVC(31), No. 2, February 2013, pp. 164-174.
Elsevier DOI 1303
Emotion classification; EEG; Facial expressions; Signal processing; Pattern classification; Affective computing BibRef

Ntalampiras, S.,
A Novel Holistic Modeling Approach for Generalized Sound Recognition,
SPLetters(20), No. 2, February 2013, pp. 185-188.
IEEE DOI 1302
BibRef

Agrafioti, F., Hatzinakos, D., Anderson, A.K.,
ECG Pattern Analysis for Emotion Detection,
AffCom(3), No. 1, 2012, pp. 102-115.
IEEE DOI 1202
BibRef

Balahur, A., Hermida, J.M., Montoyo, A.,
Building and Exploiting EmotiNet, a Knowledge Base for Emotion Detection Based on the Appraisal Theory Model,
AffCom(3), No. 1, 2012, pp. 88-101.
IEEE DOI 1202
BibRef

Vinciarelli, A., Pantic, M., Heylen, D., Pelachaud, C., Poggi, I., d'Errico, F., Schroeder, M.,
Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing,
AffCom(3), No. 1, 2012, pp. 69-87.
IEEE DOI 1202
BibRef

Ravenet, B.[Brian], Ochs, M.[Magalie], Pelachaud, C.[Catherine],
Architecture of a socio-conversational agent in virtual worlds,
ICIP14(3983-3987)
IEEE DOI 1502
Animation BibRef

Salichs, M.A., Malfaz, M.,
A New Approach to Modeling Emotions and Their Use on a Decision-Making System for Artificial Agents,
AffCom(3), No. 1, 2012, pp. 56-68.
IEEE DOI 1202
BibRef

Soleymani, M.[Mohammad], Lichtenauer, J., Pun, T.[Thierry], Pantic, M.[Maja],
A Multimodal Database for Affect Recognition and Implicit Tagging,
AffCom(3), No. 1, 2012, pp. 42-55.
IEEE DOI 1202
BibRef

Soleymani, M.[Mohammad], Pantic, M.[Maja], Pun, T.[Thierry],
Multimodal Emotion Recognition in Response to Videos,
AffCom(3), No. 2, 2012, pp. 211-223.
IEEE DOI 1208
BibRef

Sneddon, I., McRorie, M., McKeown, G., Hanratty, J.,
The Belfast Induced Natural Emotion Database,
AffCom(3), No. 1, 2012, pp. 32-41.
IEEE DOI 1202
Dataset, Emotions. BibRef

Koelstra, S., Muhl, C., Soleymani, M., Lee, J.S.[Jong-Seok], Yazdani, A., Ebrahimi, T., Pun, T., Nijholt, A., Patras, I.,
DEAP: A Database for Emotion Analysis Using Physiological Signals,
AffCom(3), No. 1, 2012, pp. 18-31.
IEEE DOI 1202
BibRef

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

Reisenzein, R.,
Broadening the Scope of Affect Detection Research,
AffCom(1), No. 1, January-June 2010, pp. 42-45.
IEEE DOI 1202
BibRef

Bickmore, T.W., Fernando, R., Ring, L., Schulman, D.,
Empathic Touch by Relational Agents,
AffCom(1), No. 1, January-June 2010, pp. 60-71.
IEEE DOI 1202
BibRef

Wu, D.[Dongrui], Courtney, C.G., Lance, B.J., Narayanan, S.S., Dawson, M.E., Oie, K.S., Parsons, T.D.,
Optimal Arousal Identification and Classification for Affective Computing Using Physiological Signals: Virtual Reality Stroop Task,
AffCom(1), No. 2, July-December 2010, pp. 109-118.
IEEE DOI 1202
BibRef

Schuller, B., Vlasenko, B., Eyben, F., Wollmer, M., Stuhlsatz, A., Wendemuth, A., Rigoll, G.,
Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies,
AffCom(1), No. 2, July-December 2010, pp. 119-131.
IEEE DOI 1202
BibRef

Gnjatovic, M., Rosner, D.,
Inducing Genuine Emotions in Simulated Speech-Based Human-Machine Interaction: The NIMITEK Corpus,
AffCom(1), No. 2, July-December 2010, pp. 132-144.
IEEE DOI 1202
BibRef

Wu, C.H.[Chung-Hsien], Liang, W.B.[Wei-Bin],
Emotion Recognition of Affective Speech Based on Multiple Classifiers Using Acoustic-Prosodic Information and Semantic Labels,
AffCom(2), No. 1, 2011, pp. 10-21.
IEEE DOI 1202
BibRef

Neviarouskaya, A., Prendinger, H., Ishizuka, M.,
SentiFul: A Lexicon for Sentiment Analysis,
AffCom(2), No. 1, 2011, pp. 22-36.
IEEE DOI 1202
BibRef

Zhu, J.[Jingbo], Wang, H.Z.[Hui-Zhen], Zhu, M.H.[Mu-Hua], Tsou, B.K., Ma, M.,
Aspect-Based Opinion Polling from Customer Reviews,
AffCom(2), No. 1, 2011, pp. 37-49.
IEEE DOI 1202
BibRef

Pfister, T., Robinson, P.,
Real-Time Recognition of Affective States from Nonverbal Features of Speech and Its Application for Public Speaking Skill Analysis,
AffCom(2), No. 2, 2011, pp. 66-78.
IEEE DOI 1202
BibRef

Sundberg, J., Patel, S., Bjorkner, E., Scherer, K.R.,
Interdependencies among Voice Source Parameters in Emotional Speech,
AffCom(2), No. 3, 2011, pp. 162-174.
IEEE DOI 1202
BibRef

Schuller, B.,
Recognizing Affect from Linguistic Information in 3D Continuous Space,
AffCom(2), No. 4, 2011, pp. 192-205.
IEEE DOI 1202
BibRef

Wagner, J., Andre, E., Lingenfelser, F., Kim, J.H.[Jong-Hwa],
Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data,
AffCom(2), No. 4, 2011, pp. 206-218.
IEEE DOI 1202
BibRef

Tang, J.[Jie], Zhang, Y.[Yuan], Sun, J.[Jimeng], Rao, J.[Jinhai], Yu, W.[Wenjing], Chen, Y.[Yiran], Fong, A.C.M.,
Quantitative Study of Individual Emotional States in Social Networks,
AffCom(3), No. 2, 2012, pp. 132-144.
IEEE DOI 1208
BibRef

Fong, A.C.M., Zhou, B.[Baoyao], Hui, S.[Siu], Tang, J.[Jie], Hong, G.[Guan],
Generation of Personalized Ontology Based on Consumer Emotion and Behavior Analysis,
AffCom(3), No. 2, 2012, pp. 152-164.
IEEE DOI 1208
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

Lottridge, D.[Danielle], Chignell, M.[Mark], Yasumura, M.[Michiaki],
Identifying Emotion through Implicit and Explicit Measures: Cultural Differences, Cognitive Load, and Immersion,
AffCom(3), No. 2, 2012, pp. 199-210.
IEEE DOI 1208
BibRef

Rodrigo, M.M.T.[M. Mercedes T.], Baker, R.S.J.D.[Ryan S.J.D.], Agapito, J.[Jenilyn], Nabos, J.[Julieta], Repalam, M.C.[M. Concepcion], Reyes, Jr., S.S.[Salvador S.], San Pedro, M.O.C.Z.[Maria Ofelia C.Z.],
The Effects of an Interactive Software Agent on Student Affective Dynamics while Using an Intelligent Tutoring System,
AffCom(3), No. 2, 2012, pp. 224-236.
IEEE DOI 1208
BibRef

Valenza, G.[Gaetano], Lanata, A.[Antonio], Scilingo, E.P.[Enzo Pasquale],
The Role of Nonlinear Dynamics in Affective Valence and Arousal Recognition,
AffCom(3), No. 2, 2012, pp. 237-249.
IEEE DOI 1208
BibRef

Moridis, C.N.[Christos N.], Economides, A.A.[Anastasios A.],
Affective Learning: Empathetic Agents with Emotional Facial and Tone of Voice Expressions,
AffCom(3), No. 3, 2012, pp. 260-272.
IEEE DOI 1210
BibRef

Lemaitre, G.[Guillaume], Houix, O.[Olivier], Susini, P.[Patrick], Visell, Y.[Yon], Franinovic, K.[Karmen],
Feelings Elicited by Auditory Feedback from a Computationally Augmented Artifact: The Flops,
AffCom(3), No. 3, 2012, pp. 335-348.
IEEE DOI 1210
BibRef

Delaherche, E.[Emilie], Chetouani, M.[Mohamed], Mahdhaoui, A.[Ammar], Saint-Georges, C.[Catherine], Viaux, S.[Sylvie], Cohen, D.[David],
Interpersonal Synchrony: A Survey of Evaluation Methods across Disciplines,
AffCom(3), No. 3, 2012, pp. 349-365.
IEEE DOI 1210
BibRef

McRorie, M.[Margaret], Sneddon, I.[Ian], McKeown, G.[Gary], Bevacqua, E.[Elisabetta], de Sevin, E.[Etienne], Pelachaud, C.[Catherine],
Evaluation of Four Designed Virtual Agent Personalities,
AffCom(3), No. 3, 2012, pp. 311-322.
IEEE DOI 1210
BibRef

Mohammadi, G.[Gelareh], Vinciarelli, A.[Alessandro],
Automatic Personality Perception: Prediction of Trait Attribution Based on Prosodic Features,
AffCom(3), No. 3, 2012, pp. 273-284.
IEEE DOI 1210
BibRef

Vinciarelli, A.[Alessandro], Mohammadi, G.[Gelareh],
More Personality in Personality Computing,
AffCom(5), No. 3, July 2014, pp. 297-300.
IEEE DOI 1412
psychology BibRef

Swangnetr, M., Kaber, D.B.,
Emotional State Classification in Patient-Robot Interaction Using Wavelet Analysis and Statistics-Based Feature Selection,
HMS(43), No. 1, January 2013, pp. 63-75.
IEEE DOI 1301
BibRef

Wu, C.K.[Chi-Keng], Chung, P.C.[Pau-Choo], Wang, C.J.[Chi-Jen],
Representative Segment-Based Emotion Analysis and Classification with Automatic Respiration Signal Segmentation,
AffCom(3), No. 4 2012, pp. 482-495.
IEEE DOI 1302
BibRef

Coeckelbergh, M.[Mark],
Are Emotional Robots Deceptive?,
AffCom(3), No. 4 2012, pp. 388-393.
IEEE DOI 1302
BibRef

Gunes, H.[Hatice], Schuller, B.[Björn],
Categorical and dimensional affect analysis in continuous input: Current trends and future directions,
IVC(31), No. 2, February 2013, pp. 120-136.
Elsevier DOI 1303
Automatic affect analysis; Continuous input; Multiple modalities; Categorical affect description; Dimensional affect description; Survey BibRef

Gunes, H.[Hatice], Schuller, B.[Bjorn], Pantic, M.[Maja], Cowie, R.[Roddy],
Emotion representation, analysis and synthesis in continuous space: A survey,
FG11(827-834).
IEEE DOI 1103
BibRef

Schroder, M.[Marc], Pammi, S.[Sathish], Gunes, H.[Hatice], Pantic, M.[Maja], Valstar, M.F.[Michel F.], Cowie, R.[Roddy], McKeown, G.[Gary], Heylen, D.[Dirk], ter Maat, M.[Mark], Eyben, F.[Florian], Schuller, B.[Bjorn], Wollmer, M.[Martin], Bevacqua, E.[Elisabetta], Pelachaud, C.[Catherine], de Sevin, E.[Etienne],
Come and have an emotional workout with sensitive artificial listeners!,
FG11(646).
IEEE DOI 1103
BibRef

van der Zwaag, M.D.[Marjolein D.], Janssen, J.H.[Joris H.], Westerink, J.H.D.M.[Joyce H.D.M.],
Directing Physiology and Mood through Music: Validation of an Affective Music Player,
AffCom(4), No. 1, January 2013, pp. 57-68.
IEEE DOI 1304
BibRef

Kusserow, M.[Martin], Amft, O.[Oliver], Tröster, G.[Gerhard],
Modeling Arousal Phases in Daily Living Using Wearable Sensors,
AffCom(4), No. 1, January 2013, pp. 93-105.
IEEE DOI 1304
BibRef

Paltoglou, G.[Georgios], Theunis, M.[Mathias], Kappas, A.[Arvid], Thelwall, M.[Mike],
Predicting Emotional Responses to Long Informal Text,
AffCom(4), No. 1, January 2013, pp. 106-115.
IEEE DOI 1304
BibRef

Paltoglou, G.[Georgios], Thelwall, M.[Michael],
Seeing Stars of Valence and Arousal in Blog Posts,
AffCom(4), No. 1, January 2013, pp. 116-123.
IEEE DOI 1304
BibRef

Yazdani, A.[Ashkan], Skodras, E.[Evangelos], Fakotakis, N.[Nikolaos], Ebrahimi, T.[Touradj],
Multimedia content analysis for emotional characterization of music video clips,
JIVP(2013), No. 1, 2013, pp. 26.
DOI Link 1305
BibRef

Lakens, D.[Daniel],
Using a Smartphone to Measure Heart Rate Changes during Relived Happiness and Anger,
AffCom(4), No. 2, 2013, pp. 238-241.
IEEE DOI 1307
Atmospheric measurements BibRef

Steephen, J.E.[John E.],
HED: A Computational Model of Affective Adaptation and Emotion Dynamics,
AffCom(4), No. 2, 2013, pp. 197-210.
IEEE DOI 1307
Adaptation models BibRef

Kivikangas, J.M.[J.Matias], Ravaja, N.[Niklas],
Emotional Responses to Victory and Defeat as a Function of Opponent,
AffCom(4), No. 2, 2013, pp. 173-182.
IEEE DOI 1307
Games; psychology; user experience BibRef

Yang, Y.[Ying], Fairbairn, C.[Catherine], Cohn, J.F.[Jeffrey F.],
Detecting Depression Severity from Vocal Prosody,
AffCom(4), No. 2, 2013, pp. 142-150.
IEEE DOI 1307
Atmospheric measurements BibRef

Shahid, S.[Suleman], Krahmer, E.[Emiel], Neerincx, M.[Mark], Swerts, M.[Marc],
Positive Affective Interactions: The Role of Repeated Exposure and Copresence,
AffCom(4), No. 2, 2013, pp. 226-237.
IEEE DOI 1307
Face BibRef

Yang, Y.H., Liu, J.Y.,
Quantitative Study of Music Listening Behavior in a Social and Affective Context,
MultMed(15), No. 6, 2013, pp. 1304-1315.
IEEE DOI 1309
Affective computing BibRef

Phung, D.Q., Gupta, S.K., Nguyen, T., Venkatesh, S.,
Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis,
MultMed(15), No. 6, 2013, pp. 1316-1325.
IEEE DOI 1309
Affective computing BibRef

Ingalls, T.,
Affect in Media: Embodied Media Interaction in Performance and Public Art,
MultMedMag(20), No. 3, 2013, pp. 4-7.
IEEE DOI 1309
art BibRef

Zheng, W.M.[Wen-Ming], Xin, M.H.[Ming-Hai], Wang, X.L.[Xiao-Lan], Wang, B.[Bei],
A Novel Speech Emotion Recognition Method via Incomplete Sparse Least Square Regression,
SPLetters(21), No. 5, May 2014, pp. 569-572.
IEEE DOI 1404
emotion recognition BibRef

Zao, L., Cavalcante, D., Coelho, R.,
Time-Frequency Feature and AMS-GMM Mask for Acoustic Emotion Classification,
SPLetters(21), No. 5, May 2014, pp. 620-624.
IEEE DOI 1404
Gaussian processes BibRef

Reisenzein, R., Hudlicka, E., Dastani, M., Gratch, J., Hindriks, K., Lorini, E., Meyer, J.J.C.,
Computational Modeling of Emotion: Toward Improving the Inter- and Intradisciplinary Exchange,
AffCom(4), No. 3, July 2013, pp. 246-266.
IEEE DOI 1404
cognitive systems BibRef

Attabi, Y., Dumouchel, P.,
Anchor Models for Emotion Recognition from Speech,
AffCom(4), No. 3, July 2013, pp. 280-290.
IEEE DOI 1404
Gaussian processes BibRef

Krcadinac, U., Pasquier, P., Jovanovic, J., Devedzic, V.,
Synesketch: An Open Source Library for Sentence-Based Emotion Recognition,
AffCom(4), No. 3, July 2013, pp. 312-325.
IEEE DOI 1404
computer mediated communication BibRef

Broekens, J., Bosse, T., Marsella, S.C.,
Challenges in Computational Modeling of Affective Processes,
AffCom(4), No. 3, July 2013, pp. 242-245.
IEEE DOI 1404
behavioural sciences computing BibRef

Skowron, M., Theunis, M., Rank, S., Kappas, A.,
Affect and Social Processes in Online Communication: Experiments with an Affective Dialog System,
AffCom(4), No. 3, July 2013, pp. 267-279.
IEEE DOI 1404
computer games 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

Meuleman, B., Scherer, K.,
Nonlinear Appraisal Modeling: An Application of Machine Learning to the Study of Emotion Production,
AffCom(4), No. 4, October 2013, pp. 398-411.
IEEE DOI 1406
behavioural sciences computing 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

Väyrynen, E.[Eero], Kortelainen, J.[Jukka], Seppänen, T.[Tapio],
Classifier-Based Learning of Nonlinear Feature Manifold for Visualization of Emotional Speech Prosody,
AffCom(4), No. 1, January 2013, pp. 47-56.
IEEE DOI 1304
BibRef

Narayanan, S., Georgiou, P.G.,
Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language,
PIEEE(100), No. 5, May 2013, pp. 1203-1233.
IEEE DOI 1305
BibRef

Kumano, S.[Shiro], Otsuka, K.[Kazuhiro], Matsuda, M.[Masafumi], Yamato, J.J.[Jun-Ji],
Analyzing Perceived Empathy Based on Reaction Time in Behavioral Mimicry,
IEICE(E97-D), No. 8, August 2014, pp. 2008-2020.
WWW Link. 1408
BibRef
Earlier:
Analyzing perceived empathy/antipathy based on reaction time in behavioral coordination,
FG13(1-8)
IEEE DOI 1309
behavioural sciences BibRef

Kumano, S.[Shiro], Otsuka, K.[Kazuhiro], Mikami, D., Matsuda, M.[Masafumi], Yamato, J.J.[Jun-Ji],
Analyzing Interpersonal Empathy via Collective Impressions,
AffCom(6), No. 4, October 2015, pp. 324-336.
IEEE DOI 1512
Bayes methods BibRef

Rebolledo-Mendez, G., Reyes, A., Paszkowicz, S., Domingo, M.C., Skrypchuk, L.,
Developing a Body Sensor Network to Detect Emotions During Driving,
ITS(15), No. 4, August 2014, pp. 1850-1854.
IEEE DOI 1410
body sensor networks BibRef

Rodriguez Gonzalez, A.B., Wilby, M.R., Vinagre Diaz, J.J., Sanchez Avila, C.,
Modeling and Detecting Aggressiveness From Driving Signals,
ITS(15), No. 4, August 2014, pp. 1419-1428.
IEEE DOI 1410
intelligent transportation systems BibRef

Munezero, M., Montero, C.S., Sutinen, E., Pajunen, J.,
Are They Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text,
AffCom(5), No. 2, April 2014, pp. 101-111.
IEEE DOI 1411
computational linguistics BibRef

Wen, W.[Wanhui], Liu, G.Y.[Guang-Yuan], Cheng, N.[Nanpu], Wei, J.[Jie], Shangguan, P., Huang, W.J.[Wen-Jin],
Emotion Recognition Based on Multi-Variant Correlation of Physiological Signals,
AffCom(5), No. 2, April 2014, pp. 126-140.
IEEE DOI 1411
correlation methods BibRef

Bone, D., Lee, C.C.[Chi-Chun], Narayanan, S.,
Robust Unsupervised Arousal Rating: A Rule-Based Framework withKnowledge-Inspired Vocal Features,
AffCom(5), No. 2, April 2014, pp. 201-213.
IEEE DOI 1411
emotion recognition BibRef

Shepstone, S.E., Tan, Z.H.[Zheng-Hua], Jensen, S.H.,
Using Audio-Derived Affective Offset to Enhance TV Recommendation,
MultMed(16), No. 7, November 2014, pp. 1999-2010.
IEEE DOI 1411
audio signal processing BibRef

Marsella, S.[Stacy], Gratch, J.[Jonathan],
Computationally Modeling Human Emotion,
CACM(57), No. 12, December 2014, pp. 56-67.
DOI Link 1412
BibRef

Jenke, R., Peer, A., Buss, M.,
Feature Extraction and Selection for Emotion Recognition from EEG,
AffCom(5), No. 3, July 2014, pp. 327-339.
IEEE DOI 1412
electroencephalography BibRef

Wac, K., Tsiourti, C.,
Ambulatory Assessment of Affect: Survey of Sensor Systems for Monitoring of Autonomic Nervous Systems Activation in Emotion,
AffCom(5), No. 3, July 2014, pp. 251-272.
IEEE DOI 1412
body area networks BibRef

Vinciarelli, A., Mohammadi, G.,
A Survey of Personality Computing,
AffCom(5), No. 3, July 2014, pp. 273-291.
IEEE DOI 1412
behavioural sciences computing BibRef

Wright, A.G.C.,
Current Directions in Personality Science and the Potential for Advances through Computing,
AffCom(5), No. 3, July 2014, pp. 292-296.
IEEE DOI 1412
behavioural sciences computing BibRef

Mao, Q.R.[Qi-Rong], Dong, M.[Ming], Huang, Z.W.[Zheng-Wei], Zhan, Y.Z.[Yong-Zhao],
Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks,
MultMed(16), No. 8, December 2014, pp. 2203-2213.
IEEE DOI 1502
convolution BibRef

Zhang, Z.X.[Zi-Xing], Coutinho, E., Deng, J.[Jun], Schuller, B.,
Distributing Recognition in Computational Paralinguistics,
AffCom(5), No. 4, October 2014, pp. 406-417.
IEEE DOI 1503
client-server systems BibRef

Wang, K.[Kunxia], An, N.[Ning], Li, B.N.[Bing Nan], Zhang, Y.[Yanyong], Li, L.[Lian],
Speech Emotion Recognition Using Fourier Parameters,
AffCom(6), No. 1, January 2015, pp. 69-75.
IEEE DOI 1506
Fourier analysis BibRef

Fairhurst, M., Erbilek, M., Li, C.[Cheng],
Study of automatic prediction of emotion from handwriting samples,
IET-Bio(4), No. 2, 2015, pp. 90-97.
DOI Link 1507
digital forensics BibRef

Gunes, H.[Hatice], Hung, H.[Hayley],
Emotional and Social Signals: A Neglected Frontier in Multimedia Computing?,
MultMedMag(22), No. 2, April 2015, pp. 76-85.
IEEE DOI 1507
affective signals BibRef

Turchet, L., Bresin, R.,
Effects of Interactive Sonification on Emotionally Expressive Walking Styles,
AffCom(6), No. 2, April 2015, pp. 152-164.
IEEE DOI 1507
acoustic signal processing BibRef

Turchet, L., Rodŕ, A.,
Emotion Rendering in Auditory Simulations of Imagined Walking Styles,
AffCom(8), No. 2, April 2017, pp. 241-253.
IEEE DOI 1706
Context, Emotion recognition, Engines, Footwear, Legged locomotion, Music, Production, Emotion rendering, footstep sounds, walking BibRef

Turchet, L., Zanotto, D., Minto, S., Rodŕ, A., Agrawal, S.K.,
Emotion Rendering in Plantar Vibro-Tactile Simulations of Imagined Walking Styles,
AffCom(8), No. 3, July 2017, pp. 340-354.
IEEE DOI 1709
Engines, Foot, Footwear, Haptic interfaces, Legged locomotion, Rendering (computer graphics), Vibrations, Emotion rendering, SoleSounds, footstep sounds, walking BibRef

Hariharan, A., Adam, M.T.P.,
Blended Emotion Detection for Decision Support,
HMS(45), No. 4, August 2015, pp. 510-517.
IEEE DOI 1506
Accuracy BibRef

Mone, G.[Gregory],
Sensing Emotions,
CACM(59), No. 9, September 2015, pp. 15-16.
DOI Link 1509
News story on affective computing. BibRef

Wang, X., Jia, J., Tang, J., Wu, B., Cai, L., Xie, L.,
Modeling Emotion Influence in Image Social Networks,
AffCom(6), No. 3, July 2015, pp. 286-297.
IEEE DOI 1509
Analytical models BibRef

Liang, R.[Ruiyu], Tao, H.[Huawei], Tang, G.C.[Gui-Chen], Wang, Q.Y.[Qing-Yun], Zhao, L.[Li],
A Salient Feature Extraction Algorithm for Speech Emotion Recognition,
IEICE(E98-D), No. 9, September 2015, pp. 1715-1718.
WWW Link. 1509
BibRef

Trentin, E.[Edmondo], Scherer, S.[Stefan], Schwenker, F.[Friedhelm],
Emotion recognition from speech signals via a probabilistic echo-state network,
PRL(66), No. 1, 2015, pp. 4-12.
Elsevier DOI 1511
Emotion recognition BibRef

Kachele, M.[Markus], Zharkov, D.[Dimitrij], Meudt, S.[Sascha], Schwenker, F.[Friedhelm],
Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition,
ICPR14(803-808)
IEEE DOI 1412
Accuracy BibRef

Lopez-Otero, P.[Paula], Docio-Fernandez, L.[Laura], Garcia-Mateo, C.[Carmen],
Assessing speaker independence on a speech-based depression level estimation system,
PRL(68, Part 2), No. 1, 2015, pp. 343-350.
Elsevier DOI 1512
Soft biometrics BibRef

Nardelli, M., Valenza, G., Greco, A., Lanata, A., Scilingo, E.P.,
Recognizing Emotions Induced by Affective Sounds through Heart Rate Variability,
AffCom(6), No. 4, October 2015, pp. 385-394.
IEEE DOI 1512
Acoustics BibRef

Wang, S., Wang, J., Wang, Z., Ji, Q.,
Multiple Emotion Tagging for Multimedia Data by Exploiting High-Order Dependencies Among Emotions,
MultMed(17), No. 12, December 2015, pp. 2185-2197.
IEEE DOI 1512
Databases 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

Hoey, J.[Jesse], Schröder, T.[Tobias], Alhothali, A.[Areej],
Affect control processes: Intelligent affective interaction using a partially observable Markov decision process,
AI(230), No. 1, 2016, pp. 134-172.
Elsevier DOI 1512
Affect BibRef

Rao, Y.H.[Yang-Hui],
Contextual Sentiment Topic Model for Adaptive Social Emotion Classification,
IEEE_Int_Sys(31), No. 1, January 2016, pp. 41-47.
IEEE DOI 1602
emotion recognition BibRef

Liu, K., Tolins, J., Fox Tree, J.E., Neff, M., Walker, M.A.,
Two Techniques for Assessing Virtual Agent Personality,
AffCom(7), No. 1, January 2016, pp. 94-105.
IEEE DOI 1603
Electronic mail BibRef

Cambria, E.,
Affective Computing and Sentiment Analysis,
IEEE_Int_Sys(31), No. 2, March 2016, pp. 102-107.
IEEE DOI 1604
Affective computing BibRef

Zong, Y., Zheng, W., Zhang, T., Huang, X.,
Cross-Corpus Speech Emotion Recognition Based on Domain-Adaptive Least-Squares Regression,
SPLetters(23), No. 5, May 2016, pp. 585-589.
IEEE DOI 1604
emotion recognition BibRef

Yan, J., Zheng, W., Xu, Q., Lu, G., Li, H., Wang, B.,
Sparse Kernel Reduced-Rank Regression for Bimodal Emotion Recognition From Facial Expression and Speech,
MultMed(18), No. 7, July 2016, pp. 1319-1329.
IEEE DOI 1608
emotion recognition BibRef

Tao, H.[Huawei], Liang, R.[Ruiyu], Zha, C.[Cheng], Zhang, X.[Xinran], Zhao, L.[Li],
Spectral Features Based on Local Hu Moments of Gabor Spectrograms for Speech Emotion Recognition,
IEICE(E99-D), No. 8, August 2016, pp. 2186-2189.
WWW Link. 1608
BibRef

Zhalehpour, S.[Sara], Akhtar, Z.[Zahid], Erdem, C.E.[Cigdem Eroglu],
Multimodal emotion recognition based on peak frame selection from video,
SIViP(10), No. 5, May 2016, pp. 827-834.
WWW Link. 1608
BibRef

Gong, J., Asare, P., Qi, Y., Lach, J.,
Piecewise Linear Dynamical Model for Action Clustering from Real-World Deployments of Inertial Body Sensors,
AffCom(7), No. 3, July 2016, pp. 231-242.
IEEE DOI 1609
Emotion recognition BibRef

Wen, H.W.[Hong-Wei], Liu, Y.[Yue], Rekik, I.[Islem], Wang, S.P.[Sheng-Pei], Chen, Z.Q.[Zhi-Qiang], Zhang, J.S.[Ji-Shui], Zhang, Y.[Yue], Peng, Y.[Yun], He, H.G.[Hui-Guang],
Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children,
PR(63), No. 1, 2017, pp. 601-611.
Elsevier DOI 1612
Tourette syndrome BibRef

Bandhakavi, A.[Anil], Wiratunga, N.[Nirmalie], Massie, S.[Stewart], Padmanabhan, D.[Deepak],
Lexicon Generation for Emotion Detection from Text,
IEEE_Int_Sys(32), No. 1, January 2017, pp. 102-108.
IEEE DOI 1702
Emotion recognition BibRef

Bandhakavi, A.[Anil], Wiratunga, N.[Nirmalie], Padmanabhan, D.[Deepak], Massie, S.[Stewart],
Lexicon based feature extraction for emotion text classification,
PRL(93), No. 1, 2017, pp. 133-142.
Elsevier DOI 1706
Emotion, classification BibRef

Albornoz, E.M., Milone, D.H.,
Emotion recognition in never-seen languages using a novel ensemble method with emotion profiles,
AffCom(8), No. 1, January 2017, pp. 43-53.
IEEE DOI 1703
Cultural differences BibRef

Likforman-Sulem, L., Esposito, A., Faundez-Zanuy, M., Clémençon, S., Cordasco, G.,
EMOTHAW: A Novel Database for Emotional State Recognition From Handwriting and Drawing,
HMS(47), No. 2, April 2017, pp. 273-284.
IEEE DOI 1704
Atmospheric measurements BibRef

Stratou, G.[Giota], Morency, L.P.[Louis-Philippe],
MultiSense: Context-Aware Nonverbal Behavior Analysis Framework: A Psychological Distress Use Case,
AffCom(8), No. 2, April 2017, pp. 190-203.
IEEE DOI 1706
Affective computing, Computer architecture, Context, Pipelines, Psychology, Real-time systems, Synchronization, MultiSense, automatic distress assessment, behavior quantification, framework for multimodal behavioral understanding, system, for, affective, computing BibRef

Venek, V.[Verena], Scherer, S.[Stefan], Morency, L.P.[Louis-Philippe], Rizzo, A.S.[Albert Skip], Pestian, J.[John],
Adolescent Suicidal Risk Assessment in Clinician-Patient Interaction,
AffCom(8), No. 2, April 2017, pp. 204-215.
IEEE DOI 1706
Feature extraction, Interviews, Pediatrics, Repeaters, Risk management, Speech, Support vector machines, Behavior analytics, clinician-patient interaction, hierarchical classifiers, ubiquitous questions, youth, suicide BibRef

Kim, M., Doh, Y.Y.,
Computational Modeling of Players: Emotional Response Patterns to the Story Events of Video Games,
AffCom(8), No. 2, April 2017, pp. 216-227.
IEEE DOI 1706
Analytical models, Computational modeling, Games, Investment, Mathematical model, Media, Predictive models, Computational emotion model, player experience, player modeling, video, game, narrative BibRef

Palo, H.K.[Hemanta Kumar], Chandra, M.[Mahesh], Mohanty, M.N.[Mihir Narayan],
Emotion recognition using MLP and GMM for Oriya language,
IJCVR(7), No. 4, 2017, pp. 426-442.
DOI Link 1708
BibRef

Goshvarpour, A.[Ateke], Daneshvar, S.[Sabalan],
Discrimination between different emotional states based on the chaotic behavior of galvanic skin responses,
SIViP(11), No. 7, October 2017, pp. 1347-1355.
Springer DOI 1708
BibRef

Guendil, Z.[Zied], Lachiri, Z.[Zied], Maaoui, C.[Choubeila],
Computational framework for emotional VAD prediction using regularized Extreme Learning Machine,
MultInfoRetr(6), No. 3, September 2017, pp. 251-261.
Springer DOI 1708
BibRef

Mariooryad, S.[Soroosh], Busso, C.[Carlos],
Facial Expression Recognition in the Presence of Speech Using Blind Lexical Compensation,
AffCom(7), No. 4, October 2016, pp. 346-359.
IEEE DOI 1612
BibRef
Earlier:
Feature and model level compensation of lexical content for facial emotion recognition,
FG13(1-6)
IEEE DOI 1309
BibRef
Earlier:
Factorizing speaker, lexical and emotional variabilities observed in facial expressions,
ICIP12(2605-2608).
IEEE DOI 1302
compensation Bilinear models BibRef

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

Mariooryad, S., Busso, C.,
Correcting Time-Continuous Emotional Labels by Modeling the Reaction Lag of Evaluators,
AffCom(6), No. 2, April 2015, pp. 97-108.
IEEE DOI 1507
emotion recognition BibRef

Busso, C., Mariooryad, S., Metallinou, A., Narayanan, S.,
Iterative Feature Normalization Scheme for Automatic Emotion Detection from Speech,
AffCom(4), No. 4, October 2013, pp. 386-397.
IEEE DOI 1406
emotion recognition BibRef

Deng, J., Zhang, Z., Eyben, F., Schuller, B.,
Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition,
SPLetters(21), No. 9, Sept 2014, pp. 1068-1072.
IEEE DOI 1406
Emotion recognition BibRef

Deng, J., Xu, X., Zhang, Z., Frühholz, S., Schuller, B.,
Universum Autoencoder-Based Domain Adaptation for Speech Emotion Recognition,
SPLetters(24), No. 4, April 2017, pp. 500-504.
IEEE DOI 1704
Databases BibRef

Mencattini, A., Martinelli, E., Ringeval, F., Schuller, B., Natale, C.D.,
Continuous Estimation of Emotions in Speech by Dynamic Cooperative Speaker Models,
AffCom(8), No. 3, July 2017, pp. 314-327.
IEEE DOI 1709
Data models, Databases, Emotion recognition, Gold, Predictive models, Speech, Standards, Speech emotion recognition, cooperative regression model, naturalistic emotional display BibRef

Zhao, R., Mao, K.,
Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder,
AffCom(8), No. 3, July 2017, pp. 328-339.
IEEE DOI 1709
Analytical models, Feature extraction, Media, Noise reduction, Numerical models, Robustness, Semantics, Cyberbullying detection, representation learning, stacked denoising autoencoders, text mining, word, embedding BibRef

Georgakis, C.[Christos], Panagakis, Y.[Yannis], Zafeiriou, S.[Stefanos], 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


Wickramaarachchi, W.U., Kariapper, R.K.A.R.,
An approach to get overall emotion from comment text towards a certain image uploaded to social network using Latent Semantic Analysis,
ICIVC17(788-792)
IEEE DOI 1708
Automobiles, Electric shock, emotion identification, latent semantic analysis, natural language processing, social network, text, processing BibRef

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

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

Chakraborty, R., Pandharipande, M., Kopparapu, S.K.,
Spontaneous speech emotion recognition using prior knowledge,
ICPR16(2866-2871)
IEEE DOI 1705
Context, Emotion recognition, Feature extraction, Knowledge based systems, Pragmatics, Speech, Speech recognition, Emotion recognition, call center audio, knowledge-based framework, non-acted emotion, spontaneous, speech BibRef

Cirakman, O., Gunsel, B.,
Online speaker emotion tracking with a dynamic state transition model,
ICPR16(307-312)
IEEE DOI 1705
Attenuation, Computational modeling, Feature extraction, Psychoacoustic models, Solid modeling, Speech, Training, affective computing, emotion recognition, particle, filter BibRef

Ullah, M.A., Islam, M.M., Azman, N.B., Zaki, Z.M.,
An overview of Multimodal Sentiment Analysis research: Opportunities and Difficulties,
IVPR17(1-6)
IEEE DOI 1704
Face BibRef

Moro, A.D.[Angelo D.], Quintero, C.[Christian], Sarmiento, W.J.[Wilson J.],
Narrative Approach to Assess Fear of Heights in Virtual Environments,
ISVC16(I: 691-700).
Springer DOI 1701
BibRef

Chandrasekaran, A.[Arjun], Vijayakumar, A.K.[Ashwin K.], Antol, S.[Stanislaw], Bansal, M.[Mohit], Batra, D.[Dhruv], Zitnick, C.L.[C. Lawrence], Parikh, D.[Devi],
We are Humor Beings: Understanding and Predicting Visual Humor,
CVPR16(4603-4612)
IEEE DOI 1612
BibRef

Impett, L.[Leonardo], Süsstrunk, S.[Sabine],
Pose and Pathosformel in Aby Warburg's Bilderatlas,
CVAA16(I: 888-902).
Springer DOI 1611
the repeatable formula for the expression of emotion, through the depiction of human pose in art. Crowdsource annotated art. BibRef

Abadi, M.K., Correa, J.A.M., Wache, J., Yang, H.[Heng], Patras, I., Sebe, N.,
Inference of personality traits and affect schedule by analysis of spontaneous reactions to affective videos,
FG15(1-8)
IEEE DOI 1508
electrocardiography BibRef

Prasomphan, S.,
Improvement of speech emotion recognition with neural network classifier by using speech spectrogram,
WSSIP15(73-76)
IEEE DOI 1603
emotion recognition BibRef

Shashidhar, K.G., Shivakranthi, B., Rao, K.S., Ramteke, P.B.,
Contribution of Telugu vowels in identifying emotions,
ICAPR15(1-6)
IEEE DOI 1511
Gaussian processes BibRef

Fernández, X.[Ximena], García, R.[Rosana], Ferreira, E.[Enrique], Menéndez, J.[Juan],
Classification of Basic Human Emotions from Electroencephalography Data,
CIARP15(108-115).
Springer DOI 1511
BibRef

Peng, K.C.[Kuan-Chuan], Chen, T.H.[Tsu-Han], Sadovnik, A.[Amir], Gallagher, A.[Andrew],
A mixed bag of emotions: Model, predict, and transfer emotion distributions,
CVPR15(860-868)
IEEE DOI 1510
BibRef

Wang, W.[Weiyi], Athanasopoulos, G.[Georgios], Patsis, G.[Georgios], Enescu, V.[Valentin], Sahli, H.[Hichem],
Real-Time Emotion Recognition from Natural Bodily Expressions in Child-Robot Interaction,
ACVR14(424-435).
Springer DOI 1504
BibRef

Liu, M.M.[Meng-Meng], Chen, H.[Hui], Li, Y.[Yang], Zhang, F.J.[Feng-Jun],
Emotional Tone-Based Audio Continuous Emotion Recognition,
MMMod15(II: 470-480).
Springer DOI 1501
BibRef

Deng, J.[Jun], Zhang, Z.[Zixing], Schuller, B.[Bjorn],
Linked Source and Target Domain Subspace Feature Transfer Learning -- Exemplified by Speech Emotion Recognition,
ICPR14(761-766)
IEEE DOI 1412
Artificial neural networks BibRef

Yuncu, E.[Enes], Hacihabiboglu, H.[Huseyin], Bozsahin, C.[Cem],
Automatic Speech Emotion Recognition Using Auditory Models with Binary Decision Tree and SVM,
ICPR14(773-778)
IEEE DOI 1412
Databases BibRef

Roffo, G.[Giorgio], Giorgetta, C.[Cinzia], Ferrario, R.[Roberta], Cristani, M.[Marco],
Just the Way You Chat: Linking Personality, Style and Recognizability in Chats,
HBU14(30-41).
Springer DOI 1411
BibRef

Wei, H.[Haolin], Monaghan, D.S.[David S.], O'Connor, N.E.[Noel E.], Scanlon, P.[Patricia],
A New Multi-modal Dataset for Human Affect Analysis,
HBU14(42-51).
Springer DOI 1411
Dataset, Human Affect. BibRef

Joo, J.[Jungseock], Li, W.X.[Wei-Xin], Steen, F.F.[Francis F.], Zhu, S.C.[Song-Chun],
Visual Persuasion: Inferring Communicative Intents of Images,
CVPR14(216-223)
IEEE DOI 1409
Communicative Intents BibRef

Kaveeta, V., Patanukhom, K.,
Emotional Speech Recognition Using Acoustic Models of Decomposed Component Words,
ACPR13(115-119)
IEEE DOI 1408
acoustic signal processing BibRef

Albornoz, E.M.[E. Marcelo], Sánchez-Gutiérrez, M.E.[Máximo E.], Martinez-Licona, F.[Fabiola], Rufiner, H.L.[H. Leonardo], Goddard, J.[John],
Spoken Emotion Recognition Using Deep Learning,
CIARP14(104-111).
Springer DOI 1411
BibRef
Earlier: A2, A1, A3, A4, A5:
Deep Learning for Emotional Speech Recognition,
MCPR14(311-320).
Springer DOI 1407
BibRef

Ren, Z.[Zhu], Jia, J.[Jia], Cai, L.H.[Lian-Hong], Zhang, K.[Kuo], Tang, J.[Jie],
Learning to Infer Public Emotions from Large-Scale Networked Voice Data,
MMMod14(I: 327-339).
Springer DOI 1405
BibRef

Lombardo, V.[Vincenzo], Pizzo, A.[Antonio],
Modeling and Visualization of Drama Heritage,
MM4CH13(288-297).
Springer DOI 1309
BibRef

Liu, X.N.[Xiang-Ning], Ji, Y.[Yunong], Akahane, K., Sato, M.,
Proposal on an image haptization system based on emotional effects of color,
FG13(1-6)
IEEE DOI 1309
emotion recognition BibRef

Abadi, M.K., Kia, M., Subramanian, R., Avesani, P., Sebe, N.,
Decoding affect in videos employing the MEG brain signal,
FG13(1-6)
IEEE DOI 1309
magnetoencephalography BibRef

Liu, P.[Ping], Han, S.H.[Shiz-Hong], Tong, Y.[Yan],
Improving facial expression analysis using histograms of Log-Transformed Nonnegative Sparse Representation with a Spatial Pyramid Structure,
FG13(1-7)
IEEE DOI 1309
emotion recognition BibRef

Zheng, W.M.[Wen-Ming], Zhou, X.Y.[Xiao-Yan],
Speech emotion recognition based on kernel reduced-rank regression,
ICPR12(1972-1976).
WWW Link. 1302
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Shibata, T.[Tatsuya], Kijima, Y.[Yohei],
Emotion recognition modeling of sitting postures by using pressure sensors and accelerometers,
ICPR12(1124-1127).
WWW Link. 1302
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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

Benuš, Š.[Štefan], Rusko, M.[Milan],
Prosodic Characteristics and Emotional Meanings of Slovak Hot-Spot Words,
COST08(18-27).
Springer DOI 0810
BibRef

Sita, K.K.[Kumari K.], Suhasini, S., Mohd., Z.P.S.[Zaheer Parvez Shaik],
Statistical estimation of emotions in speech notes by featured term analogy,
ICIIP11(1-6).
IEEE DOI 1112
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Wang, J.[Jian], Han, Z.[Zhiyan], Lun, S.X.[Shu-Xian],
Speech emotion recognition system based on genetic algorithm and neural network,
IASP11(578-582).
IEEE DOI 1112
BibRef

Snel, J.[John], Cullen, C.[Charlie],
Obtaining speech assets for judgement analysis on low-pass filtered emotional speech,
FG11(835-840).
IEEE DOI 1103
BibRef

Tarasov, A.[Alexey], Delany, S.J.[Sarah Jane],
Benchmarking classification models for emotion recognition in natural speech: A multi-corporal study,
FG11(841-846).
IEEE DOI 1103
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Ouyang, C.Y.[Chao-Ying], Wuying,
The emotional expression of punctuation in the network language,
IASP11(670-672).
IEEE DOI 1112
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Rabie, A.[Ahmad], Handmann, U.[Uwe],
Fusion of Audio- and Visual Cues for Real-Life Emotional Human Robot Interaction,
DAGM11(346-355).
Springer DOI 1109
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Inderbitzin, M.[Martin], Valjamae, A.[Aleksander], Calvo, J.M.B.[Jose Maria Blanco], Verschure, P.F.M.J.[Paul F. M. J.], Bernardet, U.[Ulysses],
Expression of emotional states during locomotion based on canonical parameters,
FG11(809-814).
IEEE DOI 1103
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Petersen, M.K.[Michael Kai], Hansen, L.K.[Lars Kai],
Emotional nodes among lines of lyrics,
FG11(821-826).
IEEE DOI 1103
BibRef

Sezgin, M.C.[Mehmet Cenk], Gunsel, B.[Bilge], Kurt, G.K.[Gunes Karabulut],
A novel perceptual feature set for audio emotion recognition,
FG11(780-785).
IEEE DOI 1103
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Espinosa, H.P.[Humberto Perez], Garcia, C.A.R.[Carlos A. Reyes], Pineda, L.V.[Luis Villasenor],
Bilingual acoustic feature selection for emotion estimation using a 3D continuous model,
FG11(786-791).
IEEE DOI 1103
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Kaernbach, C.[Christian],
On dimensions in emotion psychology,
FG11(792-796).
IEEE DOI 1103
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Guven, E.[Erhan], Bock, P.[Peter],
Speech Emotion Recognition using a backward context,
AIPR10(1-5).
IEEE DOI 1010
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Tawari, A.[Ashish], Trivedi, M.M.[Mohan M.],
Speech Emotion Analysis in Noisy Real-World Environment,
ICPR10(4605-4608).
IEEE DOI 1008
BibRef

Huang, T.[Ting], Yang, Y.C.[Ying-Chun],
Learning Virtual HD Model for Bi-model Emotional Speaker Recognition,
ICPR10(1614-1617).
IEEE DOI 1008
BibRef

Mahdhaoui, A.[Ammar], Chetouani, M.[Mohamed],
Emotional Speech Classification Based on Multi View Characterization,
ICPR10(4488-4491).
IEEE DOI 1008
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Bozkurt, E.[Elif], Erzin, E.[Engin], Erdem, C.E.[Cigdem Eroglu], Erdem, A.T.[A. Tanju],
Use of Line Spectral Frequencies for Emotion Recognition from Speech,
ICPR10(3708-3711).
IEEE DOI 1008
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Gajsek, R.[Rok], Štruc, V.[Vitomir], Mihelic, F.[France],
Multi-modal Emotion Recognition Using Canonical Correlations and Acoustic Features,
ICPR10(4133-4136).
IEEE DOI 1008
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Kandali, A.B.[Aditya Bihar], Routray, A.[Aurobinda], Basu, T.K.[Tapan Kumar],
Cross-Lingual Vocal Emotion Recognition in Five Native Languages of Assam Using Eigenvalue Decomposition,
PReMI09(519-524).
Springer DOI 0912
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Koolagudi, S.G.[Shashidhar G.], Rao, K.S.[K. Sreenivasa],
Exploring Speech Features for Classifying Emotions along Valence Dimension,
PReMI09(537-542).
Springer DOI 0912
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Bhowmick, P.K.[Plaban K.], Basu, A.[Anupam], Mitra, P.[Pabitra], Prasad, A.[Abhishek],
Multi-label Text Classification Approach for Sentence Level News Emotion Analysis,
PReMI09(261-266).
Springer DOI 0912
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Li, D.D.[Dong-Dong], Yang, Y.C.[Ying-Chun],
Emotional Speech Clustering Based Robust Speaker Recognition System,
CISP09(1-5).
IEEE DOI 0910
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Shan, Z.Y.[Zhen-Yu], Yang, Y.C.[Ying-Chun],
Scores Selection for Emotional Speaker Recognition,
ICB09(494-502).
Springer DOI 0906
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Vincent, J.[Jane],
Affiliations, Emotion and the Mobile Phone,
COST08(28-41).
Springer DOI 0810
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Staroniewicz, P.[Piotr], Majewski, W.[Wojciech],
Polish Emotional Speech Database: Recording and Preliminary Validation,
COST08(42-49).
Springer DOI 0810
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Bortoluzzi, M.[Maria],
Towards a Framework of Critical Multimodal Analysis: Emotion in a Film Trailer,
COST08(50-62).
Springer DOI 0810
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Murphy, P.J.[Peter J.], Laukkanen, A.M.[Anne-Maria],
Investigation of Normalised Time of Increasing Vocal Fold Contact as a Discriminator of Emotional Voice Type,
COST08(90-97).
Springer DOI 0810
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Pribil, J.[Jirí], Pribilová, A.[Anna],
Spectral Flatness Analysis for Emotional Speech Synthesis and Transformation,
COST08(106-115).
Springer DOI 0810
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Hristova, E.[Evgenia], Grinberg, M.[Maurice], Lalev, E.[Emilian],
Biosignal Based Emotion Analysis of Human-Agent Interactions,
COST08(63-75).
Springer DOI 0810
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Papa, F.[Filomena], Sapio, B.[Bartolomeo],
Emotional Aspects in User Experience with Interactive Digital Television: A Case Study on Dyslexia Rehabilitation,
COST08(76-89).
Springer DOI 0810
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Vondra, M.[Martin], Vích, R.[Robert],
Evaluation of Speech Emotion Classification Based on GMM and Data Fusion,
COST08(98-105).
Springer DOI 0810
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Ser, W.[Wee], Cen, L.[Ling], Yu, Z.L.[Zhu Liang],
A Hybrid PNN-GMM classification scheme for speech emotion recognition,
ICPR08(1-4).
IEEE DOI 0812
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Shan, Z.Y.[Zhen-Yu], Yang, Y.C.[Ying-Chun],
Learning polynomial function based neutral-emotion GMM transformation for emotional speaker recognition,
ICPR08(1-4).
IEEE DOI 0812
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Pao, T.L.[Tsang-Long], Chen, Y.T.[Yu-Te], Yeh, J.H.[Jun-Heng], Li, P.J.[Pei-Jia],
Mandarin Emotional Speech Recognition Based on SVM and NN,
ICPR06(I: 1096-1100).
IEEE DOI 0609
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You, M.Y.[Ming-Yu], Chen, C.[Chun], Bu, J.J.[Jia-Jun], Liu, J.[Jia], Tao, J.H.[Jian-Hua],
Emotional Speech Analysis on Nonlinear Manifold,
ICPR06(III: 91-94).
IEEE DOI 0609
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van den Broek, E.L.[Egon L.], Schut, M.H.[Marleen H.], Westerink, J.H.D.M.[Joyce H.D.M.], van Herk, J.[Jan], Tuinenbreijer, K.[Kees],
Computing Emotion Awareness Through Facial Electromyography,
CVHCI06(52-63).
Springer DOI 0605
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Facial Expressions, Overviews, Surveys, Data .


Last update:Sep 22, 2017 at 21:00:01