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Humans express their emotions via facial expressions, voice intonation and word choices.
“Automatic facial expression analysis: a survey,”
Beat Fasel and Juergen Luettin, · 2003
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“Multimodal emotion recognition from expressive faces, body gestures and speech,”
George Caridakis, Ginevra Castellano, Loic Kessous, Amaryllis Raouzaiou, Lori Malatesta, Stelios Asteriadis, and Kostas Karpouzis, · 2007
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“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
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“Efficient estimation of word representations in vector space,”
Tomas Mikolov, Kai Chen, Greg S. Corrado, and Jeffrey Dean, · 2013
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“Glove: Global vectors for word representation,”
Jeffrey Pennington, Richard Socher, and Christopher D Manning, · 2014
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“Adieu features? end-to-end speech emotion recognition using a deep convolutional recurrent network,”
George Trigeorgis, Fabien Ringeval, Raymond Brueckner, Erik Marchi, Mihalis A Nicolaou, Björn Schuller, and Stefanos Zafeiriou, · 2016
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“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
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“End-to-end multimodal emotion recognition using deep neural networks,”
Panagiotis Tzirakis, George Trigeorgis, Mihalis A Nicolaou, Björn Schuller, and Stefanos Zafeiriou, · 2017
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“Attention is all you need,”
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin, · 2017
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“Automatic differentiation in PyTorch,”
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer, · 2017
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“Multimodal machine learning: A survey and taxonomy,”
Tadas Baltrušaitis, Chaitanya Ahuja, and Louis-Philippe Morency, · 2018
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“3-d convolutional recurrent neural networks with attention model for speech emotion recognition,”
“Conflictnet: End-to-end learning for speech-based conflict intensity estimation,”
Vandana Rajan, Alessio Brutti, and Andrea Cavallaro, · 2019
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“Speech emotion recognition using multi-hop attention mechanism,”
Seunghyun Yoon, Seokhyun Byun, Subhadeep Dey, and Kyomin Jung, · 2019
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“Multimodal transformer for unaligned multimodal language sequences,”
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J Zico Kolter, Louis-Philippe Morency, and Ruslan Salakhutdinov, · 2019
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“Attentive modality hopping mechanism for speech emotion recognition,”
Seunghyun Yoon, Subhadeep Dey, Hwanhee Lee, and Kyomin Jung, · 2020
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Jian Huang, Jianhua Tao, Bin Liu, Zheng Lian, and Mingyue Niu, · 2020
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“Cross-modal knowledge transfer via inter-modal translation and alignment for affect recognition,”
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Mingyi Chen, Xuanji He, Jing Yang, and Han Zhang, · 2018
Cited alongside, same era.
“Multimodal speech emotion recognition using audio and text,”
Seunghyun Yoon, Seokhyun Byun, and Kyomin Jung, · 2018
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Vandana Rajan, Alessio Brutti, and Andrea Cavallaro, · 2021
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“Multimodal cross-and self-attention network for speech emotion recognition,”
Licai Sun, Bin Liu, Jianhua Tao, and Zheng Lian, · 2021
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