Papers
1
Total Citations
8
H-Index
1
About
P Harish is a researcher at the forefront of human-computer interaction, with a specialized focus on affective computing and speech signal processing. His work centers on developing intelligent systems capable of recognizing and interpreting human emotions from audio signals, a critical step toward more natural and empathetic machine interfaces. His most-cited paper, "Human Emotion Recognition by Audio Signals using MLP Classifier" (2023, 8 citations), demonstrates a practical approach to extracting emotional cues from speech using machine learning. This contribution addresses a growing need in fields ranging from robotics and automotive dashboards to banking and call center analytics. By leveraging Multi-Layer Perceptron classifiers, Harish’s research provides a foundation for systems that can respond to user sentiment in real time. His work is particularly notable for its focus on real-world applications, bridging the gap between experimental emotion detection and deployable technology. As the demand for context-aware and emotionally intelligent interfaces continues to rise, Harish’s contributions are helping to shape the next generation of responsive, human-centered AI.
Research Focus
Key Achievements
Top Papers
- 1Human Emotion Recognition by Audio Signals using MLP Classifier8 citations · 2023