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