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.  

Otto Mnsteds Fond (Denmark) travel grant for INTERSPEECH 2016, USA

Gold medal award by Punjab Technical University, India for ranking top in M. Tech. 2006

IEEE-SPS travel grant for ICASSP 2011, Czech Republic

ISCA travel grant for INTERSPEECH 2010, Japan

CSIR Travel Grant 2010

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)

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)