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Deep learning has undoubtedly offered tremendous improvements in the performance of state-of-the-art speech emotion recognition (SER) systems.
Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator
Yariv Ephraim and David Malah · 1984
Earlier work this paper cites.
The interspeech 2009 emotion challenge
Björn Schuller, Stefan Steidl, and Anton Batliner · 2009
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The diverse environments multi-channel acoustic noise database: A database of multichannel environmental noise recordings
Joachim Thiemann, Nobutaka Ito, and Emmanuel Vincent · 2013
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
Earlier work this paper cites.
Explaining and harnessing adversarial examples (2014)
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
Earlier work this paper cites.
Deep speech: Scaling up end-to-end speech recognition
Awni Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, et al · 2014
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Towards an intelligent framework for multimodal affective data analysis
Soujanya Poria, Erik Cambria, Amir Hussain, and Guang-Bin Huang · 2015
Earlier work this paper cites.
Affective computing and sentiment analysis
Erik Cambria · 2016
Earlier work this paper cites.
Poster: Context-driven mood mining
Rajib Rana · 2016
Earlier work this paper cites.
The limitations of deep learning in adversarial settings
Nicolas Papernot, Patrick McDaniel, Somesh Jha, Matt Fredrikson, Z Berkay Celik, and Ananthram Swami · 2016
Cited alongside, same era.
Deepfool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, and Pascal Frossard · 2016
Cited alongside, same era.
The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing
Florian Eyben, Klaus R Scherer, Björn W Schuller, Johan Sundberg, Elisabeth André, Carlos Busso, Laurence Y Devillers, Julien Epps, Petri Laukka, Shrikanth S Narayanan, et al · 2016
Cited alongside, same era.
Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, and Pascal Frossard · 2016
Cited alongside, same era.
Crafting adversarial examples for speech paralinguistics applications
Yuan Gong and Christian Poellabauer · 2017
Cited alongside, same era.
Backdoor: Making microphones hear inaudible sounds
Nirupam Roy, Haitham Hassanieh, and Romit Roy Choudhury · 2017
Later among the works it cites.
Generating adversarial examples for speech recognition
Dan Iter, Jade Huang, and Mike Jermann · 2017
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Towards robust neural networks via random self-ensemble
Xuanqing Liu, Minhao Cheng, Huan Zhang, and Cho-Jui Hsieh · 2017
Later among the works it cites.
Transfer learning for improving speech emotion classification accuracy
Siddique Latif, Rajib Rana, Shahzad Younis, Junaid Qadir, and Julien Epps · 2018
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Variational autoencoders for learning latent representations of speech emotion: A preliminary study
Siddique Latif, Rajib Rana, Junaid Qadir, and Julien Epps · 2018
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
Cited alongside, same era.
One pixel attack for fooling deep neural networks
Jiawei Su, Danilo Vasconcellos Vargas, and Sakurai Kouichi · 2017
Cited alongside, same era.
Parseval networks: Improving robustness to adversarial examples
Moustapha Cisse, Piotr Bojanowski, Edouard Grave, Yann Dauphin, and Nicolas Usunier · 2017
Cited alongside, same era.
Liwei Song and Prateek Mittal · 2017
Cited alongside, same era.
Nicholas Carlini and David Wagner · 2018
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Did you hear that? adversarial examples against automatic speech recognition
Moustafa Alzantot, Bharathan Balaji, and Mani Srivastava · 2018
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Adversarial attacks against automatic speech recognition systems via psychoacoustic hiding
Lea Schönherr, Katharina Kohls, Steffen Zeiler, Thorsten Holz, and Dorothea Kolossa · 2018
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Phonocardiographic sensing using deep learning for abnormal heartbeat detection
Siddique Latif, Muhammad Usman, Rajib Rana, and Junaid Qadir · 2018
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