Modeling Feature Representations for Affective Speech using Generative
Adversarial Networks

Modeling Feature Representations for Affective Speech using Generative Adversarial Networks

IEEE Transactions on Affective Computing (TAC), 2019

31 October 2019

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Papers citing "Modeling Feature Representations for Affective Speech using Generative Adversarial Networks"

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Title
Improving Speech Emotion Recognition with Mutual Information Regularized Generative Model Chung-Soo Ahn R. Rana Sunil Sivadas Carlos Busso Jagath Rajapakse 89 0 0 11 Oct 2025
Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks Younes Boulaguiem Jakob Zscheischler Edoardo Vignotto K. Wiel Sebastian Engelke 132 3 0 30 Oct 2021
Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop M. Marge C. Espy-Wilson Roger K. Moore 166 93 0 11 Nov 2020
Multi-Window Data Augmentation Approach for Speech Emotion Recognition Sarala Padi Tianyi Zhou Ram D.Sriram 304 12 0 19 Oct 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 307 87 0 02 Jan 2020