Dr. Virender Kadyan
Assistant Professor – Selection Grade


B.Tech. (Computer Engineering), M. M. University, Mullana, Ambala, Haryana

M.Tech. (Computer Science Engineering), DVIET, Haryana 

Ph.D. (Computer Science Engineering), Chitkara University, Punjab


Area of Specialization:

Automatic Speech Recognition, Sign and Braille Language Processing


Research & Publications:

International Journals:


A., Singh, V., Kadyan, M., Kumar & N., Bassan, “ASRoIL: a comprehensive survey for automatic speech recognition of Indian languages.” Artificial Intelligence Review, 1-32, 2019. (S.C.I. Indexed, Impact Factor-5.0)


Kadyan, A., Mantri, & R. K. Aggarwal,  “Improved filter bank on multitaper framework for robust Punjabi-ASR system”. International Journal of Speech Technology, 1-14, 2019. (Scopus Indexed).


Kadyan,A., Mantri, & R. K. Aggarwal,  “A comparative study of deep neural network based Punjabi-ASR system”. International Journal of Speech Technology, 22(1), 111-119, 2019. (Scopus Indexed).


Kadyan, A., Mantri, & R. K. Aggarwal,  “Refinement of HMM Model Parameters for Punjabi Automatic Speech Recognition (PASR) System” IETE Journal of Research, 1-16, 2017. (S.C.I.E. Indexed, Impact Factor-0.793).


Kadyan,A., Mantri, & R. K. Aggarwal,  “A heterogeneous speech feature vectors generation approach with hybrid hmm classifiers”. International Journal of Speech Technology, 20(4), 761-769, 2017. (Scopus Indexed).


Bhardwaj, V. Kadyan, A. Singh, & R. Sachdeva, “An experimental framework of speaker independent speech recognition system for Kashmiri language (K-ASR) system using Sphinx.” in International Journal of Emerging Trends in Science and Technology, vol. 4, issue 07,2017.


Kadyan, A. Chopra and N. Pahwa, “Speech to Text Interface (STTI) using HTK” in IJCCIT Vol. 1, No. 1, December 2013 (ISSN: 2348-8573).


Kadyanand A. Chopra, “Comparison of Feature Extraction Technique used for Isolated Word STTD System” in IJCST Vol. 4, Issue 2, in April-June 2013 (ISSN: 0976-8491).


Dua, R. K. Aggarwal, V. Kadyanand S. Dua, “Punjabi Speech Recognition using HTK” in International Journal of Computer Science Issues, Vol. 9, Issue 4, in July 2012 (ISSN: 1694-0814).


International Conferences:


H., Kaur, D., Koundal, D., & V. Kadyan,. Multi Modal Image Fusion: Comparative Analysis. in 2019 International Conference on Communication and Signal Processing (ICCSP), 0758-0761, 4-6 April, 2019.


V. Kadyanand M. Kaur, “SGMM-based modeling classifier for Punjabi Automatic Speech Recognition System” in 6th International Conference on Advanced Computing, Networking, and Informatics (ICANI 2018) at National Institute of Technology, Silchar, 04-06 June 2011


A.  Arora and V. Kadyan“Effect of Tonal Features on various dialectal variations of Punjabi language” in ICSC at JIIT Noida, 21-23 March 2018.


A. Kaur, A. Singh and V. Kadyan,“Correlative consideration concerning feature extraction techniques for Speech Recognition- a Review”, in (IEEE) ICCPCT at Noorul Islam Centre for Higher Education, Kumaracoil, 18th-19th March 2016.


A.Chopra, S. Sharma and V. Kadyan, “Need of Green computing to improve environmental condition in current era”, in (IEEE) ICEEOT at DMI College of Engineering Chennai, 3rd-5th March 2016.


M. Dua, R. K. Aggarwal, V. Kadyanand S. Dua, “Punjabi Speech to Text System for Connected Words” in ARTCom 2012, Fourth International Conference on Advances in Recent Technologies, pp.206-209, 19-20th October 2012.


S. Dua and V. Kadyan, “Impact of Varying HMM Topology on Hindi Automatic Speech Recognition System for Isolated Words” in NACCT at RPIIT, Karnal 28-29, September 2012.


Book Chapter:


N.Bassan and V. Kadyan(2017) An Experimental Study of Continuous Automatic Speech Recognition System Using MFCC with Reference to Punjabi Language. In: Sa, P.K., Bakshi, S., Hatzilygeroudis, I.K., Sahoo, M. N. (eds) Proceeding of International Conference on Advanced Computing, Networking and Informatics (ICACNI 2017). Advances in Intelligent Systems and Computing, vol 707-709. Springer, Singapore.


V.Kadyan, A. Singh, and P. Wadhwa (2017) Hindi Dialect (Bangro) Spoken Language Recognition (HD-SLR) System Using Sphinx3. In: Singh R., Choudhury S. (eds) Proceeding of International Conference on Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 479. Springer, Singapore.