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Emotion recognition has become an important field of research in Human Computer Interactions as we improve upon the techniques for modelling the various aspects of behaviour.
“Emotion recognition: the role of facial movement and the relative importance of upper and lower areas of the face.,”
John N Bassili, · 1979
Earlier work this paper cites.
“Iemocap: Interactive emotional dyadic motion capture database,”
Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette N Chang, Sungbok Lee, and Shrikanth S Narayanan, · 2008
Earlier work this paper cites.
“A multimodal database for affect recognition and implicit tagging,”
Mohammad Soleymani, Jeroen Lichtenauer, Thierry Pun, and Maja Pantic, · 2012
Earlier work this paper cites.
“Convolutional neural networks for sentence classification,”
Yoon Kim, · 2014
Earlier work this paper cites.
“Speech emotion recognition using deep neural network and extreme learning machine,”
Kun Han, Dong Yu, and Ivan Tashev, · 2014
Earlier work this paper cites.
“Glove: Global vectors for word representation,”
Jeffrey Pennington, Richard Socher, and Christopher Manning, · 2014
Cited alongside, same era.
“High-level feature representation using recurrent neural network for speech emotion recognition,”
Jinkyu Lee and Ivan Tashev, · 2015
Cited alongside, same era.
“Classification of human emotion from deap eeg signal using hybrid improved neural networks with cuckoo search,”
M Sreeshakthy and J Preethi, · 2016
Cited alongside, same era.
“Emotion recognition from speech with recurrent neural networks,”
Vladimir Chernykh, Grigoriy Sterling, and Pavel Prihodko, · 2017
Cited alongside, same era.
Michael Neumann and Ngoc Thang Vu, · 2017
Cited alongside, same era.
“Using deep and convolutional neural networks for accurate emotion classification on deap dataset.,”
Samarth Tripathi, Shrinivas Acharya, Ranti Dev Sharma, Sudhanshu Mittal, and Samit Bhattacharya, · 2017
Later among the works it cites.
“Context-dependent sentiment analysis in user-generated videos,”
Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, and Louis-Philippe Morency, · 2017
Later among the works it cites.
“Multimodal sentiment analysis: Addressing key issues and setting up the baselines,”
Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, Alexander Gelbukh, and Amir Hussain, · 2018
Closest in time.
“Reusing neural speech representations for auditory emotion recognition,”
Egor Lakomkin, Cornelius Weber, Sven Magg, and Stefan Wermter, · 2018
Closest in time.
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