Sanjay Badhe

Sanjay S. Badhe has established himself as an Assistant Professor, contributing to the field of Speech Processing. His academic career at dyptc.edu.in has involved research and publications focused on areas such as smart attendance systems, feature analysis for musical instruments, and accent classification using deep learning techniques. He has authored and co-authored several scholarly articles, demonstrating a consistent output of research work since at least 2016.

A significant milestone in his professional journey includes his role as a consultant in marketing, branding, and retailing strategies. This advisory capacity has seen him work with numerous organizations across different industries, providing insights and guidance. He has also served as a Professor of Marketing, notably at the Great Lakes Institute of Management, where he has been associated with teaching and mentoring within the marketing domain.

His research contributions include the publication of “Smart attendance management system” in 2016, which has received 13 citations. In 2018, he co-authored “Cepstral (MFCC) feature and spectral (Timbral) features analysis for musical instrument sounds” and in 2021, “Indian classical musical instrument classification using Timbral features.” A notable achievement in 2022 was the publication of “Renyi entropy and deep learning-based approach for accent classification.” These works highlight his expertise in speech processing and machine learning applications.