no code implementations • 4 Dec 2023 • Gokul S Krishnan, Sarala Padi, Craig S. Greenberg, Balaraman Ravindran, Dinesh Manoch, Ram D. Sriram
To overcome these limitations, we propose novel line conversation graph convolutional network (LineConGCN) and graph attention (LineConGAT) models for ERC analysis.
no code implementations • 16 Feb 2022 • Sarala Padi, Seyed Omid Sadjadi, Dinesh Manocha, Ram D. Sriram
Experimental results indicate that both audio and text-based models improve the emotion recognition performance and that the proposed multimodal solution achieves state-of-the-art results on the IEMOCAP benchmark.
no code implementations • 5 Aug 2021 • Sarala Padi, Seyed Omid Sadjadi, Dinesh Manocha, Ram D. Sriram
Automatic speech emotion recognition (SER) is a challenging task that plays a crucial role in natural human-computer interaction.
no code implementations • 19 Oct 2020 • Sarala Padi, Dinesh Manocha, Ram D. Sriram
MWA-SER is a unimodal approach that focuses on two key concepts; designing the speech augmentation method and building the deep learning model to recognize the underlying emotion of an audio signal.