Srinivas Boppu
Papers
1
Total Citations
5
H-Index
1
About
Srinivas Boppu is a researcher specializing in audio signal processing, with a particular focus on sound source localization and its real-world applications. His most cited work, "Design of a Real-Time Automatic Source Monitoring Framework Based on Sound Source Localization" (2019), addresses the challenge of precisely locating sound-emitting sources using only audio data—a critical capability for audio surveillance, security monitoring in visually obstructed environments, and robotics applications like autonomous waitstaff. This framework demonstrates Boppu’s contribution to advancing real-time monitoring systems that operate without reliance on visual cues. With 5 citations, his work has laid foundational insights for integrating sound localization into practical, automated security and robotics solutions. Boppu’s research bridges theoretical signal processing and applied engineering, offering scalable approaches for intelligent audio-based monitoring. His achievements highlight the growing importance of acoustic sensing in modern technology, making his contributions valuable for students and researchers exploring non-visual perception systems in robotics, surveillance, and human-computer interaction.
Research Focus
Key Achievements
Top Papers
- 1