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Speech emotion recognition (SER) has attracted great attention in recent years due to the high demand for emotionally intelligent speech interfaces.
“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.
“Visualizing data using t-sne,”
Laurens van der Maaten and Geoffrey Hinton, · 2008
Earlier work this paper cites.
“Cross-corpus acoustic emotion recognition: Variances and strategies,”
Bjorn Schuller, Bogdan Vlasenko, Florian Eyben, Martin Wollmer, Andre Stuhlsatz, Andreas Wendemuth, and Gerhard Rigoll, · 2010
Earlier work this paper cites.
“The kaldi speech recognition toolkit,”
Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, et al., · 2011
Earlier work this paper cites.
“Adversarial multi-task learning of deep neural networks for robust speech recognition.,”
Yusuke Shinohara, · 2016
Earlier work this paper cites.
“Domain-adversarial training of neural networks,”
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky, · 2016
Earlier work this paper cites.
“Ensemble feature selection for domain adaptation in speech emotion recognition,”
Mohammed Abdelwahab and Carlos Busso, · 2017
Earlier work this paper cites.
“Segan: Speech enhancement generative adversarial network,”
Santiago Pascual, Antonio Bonafonte, and Joan Serra, · 2017
Cited alongside, same era.
“Generative adversarial network-based postfilter for statistical parametric speech synthesis,”
Takuhiro Kaneko, Hirokazu Kameoka, Nobukatsu Hojo, Yusuke Ijima, Kaoru Hiramatsu, and Kunio Kashino, · 2017
Cited alongside, same era.
Chin-Cheng Hsu, Hsin-Te Hwang, Yi-Chiao Wu, Yu Tsao, and Hsin-Min Wang, · 2017
Cited alongside, same era.
“An unsupervised deep domain adaptation approach for robust speech recognition,”
Sining Sun, Binbin Zhang, Lei Xie, and Yanning Zhang, · 2017
Cited alongside, same era.
“Deep neural network embeddings for text-independent speaker verification,”
David Snyder, Daniel Garcia-Romero, Daniel Povey, and Sanjeev Khudanpur, · 2017
“3-d convolutional recurrent neural networks with attention model for speech emotion recognition,”
Mingyi Chen, Xuanji He, Jing Yang, and Han Zhang, · 2018
Later among the works it cites.
“Investigation on joint representation learning for robust feature extraction in speech emotion recognition,”
Danqing Luo, Yuexian Zou, and Dongyan Huang, · 2018
Later among the works it cites.
“Simulating dysarthric speech for training data augmentation in clinical speech applications,”
Yishan Jiao, Ming Tu, Visar Berisha, and Julie Liss, · 2018
Later among the works it cites.
“Speaker-invariant training via adversarial learning,”
Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, et al., · 2018
Later among the works it cites.
“Unsupervised domain adaptation via domain adversarial training for speaker recognition,”
Qing Wang, Wei Rao, Sining Sun, Leib Xie, Eng Siong Chng, and Haizhou Li, · 2018
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Cited alongside, same era.
“Cross-corpus acoustic emotion recognition with multi-task learning: Seeking common ground while preserving differences,”
Biqiao Zhang, Emily Mower Provost, and Georg Essl, · 2017
Cited alongside, same era.
“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
Cited alongside, same era.
Later among the works it cites.
“Domain adversarial for acoustic emotion recognition,”
Mohammed Abdelwahab and Carlos Busso, · 2018
Later among the works it cites.
“Generalizing across domains via cross-gradient training,”
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, and Sunita Sarawagi, · 2018
Later among the works it cites.