Sudipta Dey

Indian Institute of Technology Bhubaneswar

Papers

Total Citations

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About

Sudipta Dey is a leading researcher in audio event recognition (AER) and context-aware computing, whose work is shaping the next generation of intelligent audio systems. His seminal 2019 paper, "Automatic Audio Event Recognition Schemes for Context-Aware Audio Computing Devices," has garnered 14 citations and lays the groundwork for machines to interpret complex acoustic environments. Dey’s core contributions span audio surveillance, content indexing, highlight extraction, and machine health monitoring, where his algorithms enable devices to autonomously detect and classify sounds—from a drone’s rotor whir to a factory machine’s anomaly. By bridging low-level acoustic features with high-level context, he has advanced applications in robotic navigation and audio-aware virtual assistants. His research stands out for its practical impact: improving safety in autonomous systems and efficiency in industrial monitoring. Dey’s work not only pushes the boundaries of machine listening but also inspires new directions in ubiquitous computing, making him a pivotal figure for students and researchers exploring how sound can make technology more responsive to our world.