International Speech and Communication Association (ISCA) Best Research Paper Award 2023 for the publication in Computer, Speech and Language Journal during 2018-2022: Z.-H. Tan, A. K. Sarkar, N. Dehak. rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method. Computer speech & Language: Volume 59, January 2020, pp. 1-21.
5th official (Team 26, Text-dependent task) in Short-duration Speaker Verification (SDSV) challenge 2020 (Brno University, Czech-republic) - The system description available at https://sdsvc.github.io/2020/mydescriptions/
4th in Fearless Steps (FS-P01) - Speech Activity Detection - challenge 2019 (University of Texas at Dallas, USA ) -(rVAD code)
Otto Mnsteds Fond (Denmark) travel grant for INTERSPEECH 2016, USA
5th rank among 200 competitors in Seizure Detection Challenge organized by UPenn and Mayo Clinic's (https://www.kaggle.com/c/seizure-detection/leaderboard/private), 2014
Selected as a faculty (Asst. Prof.) under UGC-FRP (University Grants Commission -Faculty Recharge Programme, India) 2013 (http://www.ugcfrp.ac.in)
IEEE-SPS travel grant for ICASSP 2011, Czech Republic
ISCA travel grant for INTERSPEECH 2010, Japan
CSIR Travel Grant 2010
Gold medal award by Punjab Technical University, India for ranking top in M. Tech. 2006