Rohit Sinha

Papers

Total Citations

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About

Dr. Rohit Sinha has made significant contributions to the field of affective computing and speech processing, with a particular focus on emotion recognition from speech signals. His most cited work, "Speech based Emotion Recognition based on hierarchical decision tree with SVM, BLG and SVR classifiers" (2013, 33 citations), demonstrates his innovative approach to improving emotion recognition accuracy through hierarchical classification architectures. By integrating Support Vector Machines, Bayesian Logistic Regression, and Support Vector Regression in a decision tree framework, Sinha addressed the critical challenge of real-time emotion detection in human-computer interaction systems. His research bridges the gap between traditional speech processing and modern machine learning techniques, offering practical solutions for robotics and computer vision applications where emotional intelligence is paramount. With over 30 citations on this foundational paper alone, Sinha's work has influenced subsequent studies in emotion-aware systems, establishing him as a notable researcher in the intersection of speech analysis and affective computing. His contributions continue to impact the development of more intuitive and responsive human-machine interfaces.