10 citations · 15 across the 4 of their papers we have counts for
4 papers
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks
Gokul S Krishnan, Sarala Padi, Craig S. Greenberg +3
Emotion Recognition in Conversations (ERC) is a critical aspect of affective computing, and it has many practical applications in healthcare, education, chatbots, and social media…
Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT-based models
Sarala Padi, Seyed Omid Sadjadi, Dinesh Manocha +1
Automatic emotion recognition plays a key role in computer-human interaction as it has the potential to enrich the next-generation artificial intelligence with emotional intelligen…
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation
Sarala Padi, Seyed Omid Sadjadi, Dinesh Manocha +1
Automatic speech emotion recognition (SER) is a challenging task that plays a crucial role in natural human-computer interaction. One of the main challenges in SER is data scarcity…
Multi-Window Data Augmentation Approach for Speech Emotion Recognition
Sarala Padi, Dinesh Manocha, Ram D. Sriram
We present a Multi-Window Data Augmentation (MWA-SER) approach for speech emotion recognition. MWA-SER is a unimodal approach that focuses on two key concepts; designing the speech…