Birla Institute of Technology, Mesra
Faculty Image

Dr. Shipra Mishra

Joined Institute on : 15-Jul-2009

  • Assistant Professor
  • Electronics and Communication Engg
  • B.E, M.E, PhD
Contact Address

BIT Patna campus

BIT Patna campus

  • Phone Office - 9973508563
  • Phone Residence - 9973508563
  • Email - shipra@bitmesra.ac.in
Work Experience

Teaching : 14 Years

Research : 11 Years

Individual: 07 Years
Research Areas

Speech Recoginition, Photonic crystal fiber
Publications

Journals:

  1. S. Mishra, M. Chandra, “Wavelet based power normalized spectrum for Hindi Speech recognition,” Circuits Syst Signal Process 38, pp.5149–5168 (2019). DOI:10.1007/s00034-019-01113-1.(SCI, I.F.=1.9)
  2. S. Mishra, M .Chandra “Hindi Vowel Classification using QCN-PNCC features”, Indian Journal of Science and Technology, vol. 9(38), pp.1-8 , doi: 10.17485/ ijst/ 2016/ v9i38/ 102972, October 2016.
  3. Shipra, Mahesh Chandra, “Hindi Vowel Classification using QCN-MFCC Features” Perspective in Science vol. 8, pp. 28-31 ,dx.doi.org/10.1016/j.pisc.2016.01.010

Book Chapter

  1. Shipra, Mahesh Chandra, “Effect of processing combined MFCC and DSCC features with QCN for Hindi Vowel Classification in Noisy Environments”, Nanoelectronics, Circuits and Communication Systems - Proceeding of NCCS 2017, pp. 25-35.
  2. M. Chandra, Shipra etal., “Spectral-Subtraction Based Features for Speaker Identification”, Proceedings of 3rd international conference on Frontiers of Intelligent Computing, Theory and Application (FICTA), advances in intelligent system and computing, vol.328,2015,pp 529-326.

 

 

Conference:

  1. Shipra, Mahesh Chandra, “DSCC features for Hindi Vowel Classification”,2017 International Conference on wireless communication, signal processing and networking , pp. 2282-2284.
  2. Shipra, Mahesh Chandra, “In-vehicle Hindi Vowel Classification with QCN-DSCC features”, 2017 International Conference on Intelligent Computing and Control, pp.152-153.