Sukanya Sonowal
Papers
1
Total Citations
8
H-Index
1
About
Sukanya Sonowal is a researcher whose work centers on acoustic signal processing and audio event recognition, with a particular focus on advancing human-robot interaction and automated surveillance systems. Her most-cited paper, "Audio Bank: A high-level acoustic signal representation for audio event recognition" (2014, 8 citations), introduces a novel framework for disentangling the complex, harmonically entangled phonic patterns that define audio events. This contribution addresses a critical challenge in the field: enabling machines to recognize and interpret intricate soundscapes with greater accuracy. By developing high-level acoustic representations, Sonowal's work has practical implications for industrial automation, control systems, and security monitoring, where reliable audio recognition is essential. Her research bridges the gap between raw acoustic data and meaningful event classification, offering a pathway toward more intuitive and responsive robotic systems. With a focus on making human-robot interaction more seamless, Sonowal's contributions are foundational for researchers exploring the intersection of signal processing, machine learning, and real-world audio applications. Her work continues to inspire advancements in how machines listen, interpret, and respond to their acoustic environments.
Research Focus
Key Achievements
Top Papers
- 1