4 papers
DSSCNet: A Transfer Learning Framework for Cross-Corpus Dysarthric Speech Severity Classification
Arnab Kumar Roy, Hemant Kumar Kathania, Paban Sapkota +2
Dysarthric speech severity classification is challenging due to speaker variability, class imbalance, and limited datasets. This study introduces DSSCNet, a deep learning model tha…
Enhancing Speaker-Independent Dysarthric Speech Severity Classification with DSSCNet and Cross-Corpus Adaptation
Arnab Kumar Roy, Hemant Kumar Kathania, Paban Sapkota
Dysarthric speech severity classification is crucial for objective clinical assessment and progress monitoring in individuals with motor speech disorders. Although prior methods ha…
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition
Arnab Kumar Roy, Hemant Kumar Kathania, Adhitiya Sharma +2
The human face is a silent communicator, expressing emotions and thoughts through its facial expressions. With the advancements in computer vision in recent years, facial emotion r…
Improvement in Facial Emotion Recognition using Synthetic Data Generated by Diffusion Model
Arnab Kumar Roy, Hemant Kumar Kathania, Adhitiya Sharma
Facial Emotion Recognition (FER) plays a crucial role in computer vision, with significant applications in human-computer interaction, affective computing, and areas such as mental…