Dr. Kumud Tripathi

Assistant Professor
• Nature of responsibilities: Teaching Design and Analysis of Algorithms (DAA), Operating Systems (OS), Natural Language Processing (NLP), Data Structure (DS) and Artificial Intelligence (AI), Conducting labs for DAA, OS, NLP, DS and AI in C and Python, Supervision of the project work undertaken by students
• Duration: Feb 13, 2021 – Mar 31, 2022
• Organization: National Institute of Technology, Sikkim

Assistant Professor
• Nature of responsibilities: Teaching Data Structure, Conducting lab for data structure in C, Supervision of the project work undertaken by students
• Duration: June 20, 2020 – Feb 03, 2021
• Organization: Pranveer Singh Institute of Technology, Kanpur

Software Developer
• Nature of responsibilities: Software User Interface and Report Development
• Duration: July 14,2011 – Mar 02,2012
• Organization: Alacron Computers Consultant

Journals

• Kumud Tripathi and K. Sreenivasa Rao. CycleGAN based Speech Mode Transformation Model for Robust Multilingual ASR. Circuits, Systems, and Signal Processing (CSSP), Mar. 2022. (DOI: 10.1007/s00034-022-02008-4)

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  Kumud Tripathi and K. Sreenivasa Rao. Robust Vowel Region Detection Method for Multimode Speech. Multimedia Tools and Applications, 80(9), 13615-13637, Jan. 2021.

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  Kumud Tripathi and K. Sreenivasa Rao. VOP Detection for Read and Conversation Speech using CWT Coefficients and Phone Boundaries. Journal of Ambient Intelligence and Humanized Computing, Jan. 2021. (https://doi.org/10.1007/s12652-020-02890- 3)

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  Kumud Tripathi and K. Sreenivasa Rao. VEP Detection for Read, Extempore and Conversation Speech. IETE Journal of Research, Mar. 2020. (https://doi.org/10.1080/03772063 .2020.1724835)

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  Kumud Tripathi, M. Kiran Reddy and K. Sreenivasa Rao. Multilingual and Multimode Phone Recognition System for Indian  Languages.  Speech Communication, 119:  12- 23, Feb. 2020.

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  Kumud Tripathi and K. Sreenivasa Rao. Improvement of Phone Recognition Accuracy using Speech Mode Classification. International Journal of Speech Technology, 21(3): 489-500, Dec. 2017.

• Kumud Tripathi and K Sreenivasa Rao, Multilingual speech mode classification model
  for Indian languages. In Proc. of NCC, (IIT Kharagpur, India), pages 1-6, Feb.
  2019.
• Kumud Tripathi, and K Sreenivasa Rao, Analysis of sparse representation based
  feature on speech mode classification. In Proc. of Interspeech, (IIT Hyderabad,
  India), pages 731-735, 2018.
• Kumud Tripathi, and K. Sreenivasa Rao, Discriminative sparse representation for
  speech mode classification. In Proc. of ICACCI, (Bangalore, India), pages 655-659,
  Sept. 2018.
• Kumud Tripathi, Parakrant Sarkar, and K Sreenivasa Rao, Sentence based discourse
  classification for hindi story text-to-speech (tts) system, In Proc. of the 13th International
  Conference on Natural Language Processing, (IIT BHU, India), pages 46-54, Dec.
  2016.
• Kumud Tripathi, Neha Baranwal and G.C. Nandi. Recognition and Interpretation of
  continuous Indian sign language gesture recognition. In Proc. of Elsevier Procedia
  IMCIP, (Bangalore, India), pages 523-531, 2015.
• Kumud Tripathi, Neha Baranwal and G.C. Nandi. Continuous dynamic Indian
  Sign Language gesture recognition with invariant backgrounds. In Proc. of ICACCI,
  (Chennai, India), pages 2211-2216, Aug. 2015.
• Neha Baranwal, Kumud Tripathi and G.C. Nandi. Possibility theory based continuous
  Indian Sign Language gesture recognition. In Proc. of TENCON, (Macau, China),
  pages 1-5, Nov. 2015.

• Departmental Representative, Computer Science and Engineering, IIT Kharagpur
  (2016-2017)
• Cultural Activity Organizer, Robotics Department, IIIT Allahabad (2013-2015)
• Departmental Representative, Computer Science and Engineering, SR Group of
  Institution, Jhansi (2008-2011)

Department of Information Technology,
Indian Institute of Information Technology,
Lucknow, India.
[email protected]