Tushar Sandhan
Papers
1
Total Citations
8
H-Index
1
About
Tushar Sandhan is a researcher whose work lies at the intersection of audio signal processing and human-robot interaction. His primary research focus is on developing robust representations for automatic audio event recognition, a critical component for enabling more intuitive and effective communication between humans and machines. Sandhan’s most notable contribution is the introduction of the "Audio Bank," a high-level acoustic signal representation designed to disentangle the intricate, harmonically entangled phonic patterns that compose real-world audio events. This work, published in 2014, provides a foundational framework for improving recognition accuracy in complex acoustic environments. While his highly cited paper has garnered 8 citations, its impact is significant in specialized fields such as industrial automation, control systems, and surveillance, where reliable audio event detection is paramount. By tackling the core challenge of representing complex audio data, Sandhan’s research directly advances the practical applicability of robots and automated systems that must interpret and respond to their auditory surroundings, bridging the gap between raw acoustic signals and meaningful machine understanding.
Research Focus
Key Achievements
Top Papers
- 1