Assoc Prof Rajib Rana
Name | Rajib Rana |
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Position | Associate Professor (Computer Science) |
Section | School of Sciences |
Office | B341 |
Location | Springfield Campus |
Phone | +61 7 3470 4234 |
Extension | 4234 |
Qualifications | PhD UNSW |
Homepage |
http://www.rajibrana.org The views expressed on staff homepages may not reflect the views of the University. |
USQ Research affiliations
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Institute for Resilient Regions (IRR)
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Centre for Health Sciences Research (CHSR)
Publications in ePrints
Latif, Siddique and Asim, Muhammad and Rana, Rajib and Khalif, Sara and Jurdak, Raja and Schuller, Bjorn W. (2020) Augmenting generative adversarial networks for speech emotion recognition. In: 21st Annual Conference of the International Speech Communication Association: Cognitive Intelligence for Speech Processing (INTERSPEECH 2020), 25–29 Oct 2020, Shanghai, China.
Latif, Siddique and Rana, Rajib and Khalifa, Sara and Jurdak, Raja and Schuller, Bjorn W. (2020) Deep architecture enhancing robustness to noise, adversarial attacks, and cross-corpus setting for speech emotion recognition. In: 21st Annual Conference of the International Speech Communication Association: Cognitive Intelligence for Speech Processing (INTERSPEECH 2020), 25–29 Oct 2020, Shanghai, China.
Latif, Siddique and Khalifa, Sara and Rana, Rajib and Jurdak, Raja (2020) Federated Learning for Speech Emotion Recognition Applications. In: 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2020), 21-24 April, 2020, Sydney, Australia.
Haque, Kazi Nazmul and Rana, Rajib and Schuller, Bjorn W. (2020) High-fidelity audio generation and representation learning with guided adversarial autoencoder. IEEE Access, 8:9272282. pp. 223509-223528.
Latif, Siddique and Rana, Rajib and Khalifa, Sara and Jurdak, Raja and Epps, Julien and Schuller, Bjorn W. (2020) Multi-task semi-supervised adversarial autoencoding for speech emotion recognition. IEEE Transactions on Affective Computing.