Sanil Joshi
Papers
1
Total Citations
5
H-Index
1
About
Sanil Joshi is a researcher at the forefront of speech processing and industrial automation, with a particular focus on automatic speaker verification (ASV) systems within the Industry 4.0 framework. His most-cited work, "Various Audio Classification Models for Automatic Speaker Verification System in Industry 4.0" (2023), has garnered 5 citations, establishing a foundation for integrating biometric voice authentication into smart manufacturing environments. Joshi’s major contribution lies in exploring diverse audio classification models to enhance the accuracy and reliability of ASV systems, addressing the growing need for secure, hands-free authentication in automated production lines where robots perform critical tasks. By bridging speech processing with industrial applications, his research supports the development of more intuitive and secure human-machine interfaces. This work is particularly notable for its practical relevance, as it tackles real-world challenges in deploying voice-based biometrics in noisy, dynamic factory settings. Joshi’s efforts are helping to shape the next generation of intelligent, voice-enabled industrial systems, making him a key contributor to the convergence of audio AI and automation technologies.
Research Focus
Key Achievements
Top Papers
- 1