Aniruddha Kanhe

About

Aniruddha Kanhe received his B.E. degree in Electronics and Telecommunication
from Government Engineering College Raipur affiliated to Pt. Ravi Shankar Shukla
University Raipur C.G. and M.Tech in VLSI Design from Visvesvaraya National Institute of Technology
(VNIT), Nagpur. He is currently Assistant Professor in the Department of Electronics and
communication Engineering at National Institute of Technology (NIT) Puducherry, Karaikal. He
is also pursuing Ph.D. degree from NIT Puducherry. His interest includes audio steganography,
speech recognition, Low power VLSI system design.

Employment

• National Institute of Technology, Puducherry Associate Professor
  2025 - Present
• National Insitute of Technology Puducherry Karaikal Assitant Professor
  2013 - Present
• National Institute of Technology Raipur Assistant Professor
  2010 - 2013

Education

• Visvesvaraya National Institute of Technology

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Covert speech communication through audio steganography using DWT and SVD
  2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020 2020 DOI: 10.1109/ICCCNT49239.2020.9225399
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• Digital Architecture for Instantaneous V/UV/S Classification of Noise Free Speech Segments
  2020 24th International Symposium on VLSI Design and Test, VDAT 2020 2020 DOI: 10.1109/VDAT50263.2020.9190224
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• Speech emotion recognition using cepstral features extracted with novel triangular filter banks based on bark and ERB frequency scales
  Digital Signal Processing: A Review Journal 2020 DOI: 10.1016/j.dsp.2020.102763
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• A Novel Deep Learning Approach for Classification of COVID-19 Images
  2020 IEEE 5th International Conference on Computing Communication and Automation, ICCCA 2020 2020 DOI: 10.1109/ICCCA49541.2020.9250907
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• A Blind Audio Watermarking Scheme Employing DCT–HT–SD Technique
  Circuits, Systems, and Signal Processing 2019 DOI: 10.1007/s00034-018-0994-2
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• A QIM-Based Energy Modulation Scheme for Audio Watermarking Robust to Synchronization Attack
  Arabian Journal for Science and Engineering 2019 DOI: 10.1007/s13369-018-3540-4
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• Recognition of Spoken Languages from Acoustic Speech Signals Using Fourier Parameters
  Circuits, Systems, and Signal Processing 2019 DOI: 10.1007/s00034-019-01100-6
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• Security of electronic patient record using imperceptible DCT-SVD based audio watermarking technique
  International Journal of Electronics and Telecommunications 2019 DOI: 10.24425/123560
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• Performance Comparison of Different Cepstral Features for Speech Emotion Recognition
  2018 International CET Conference on Control, Communication, and Computing, IC4 2018 2018 DOI: 10.1109/CETIC4.2018.8531065
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• Speaker-Independent Japanese Isolated Speech Word Recognition Using TDRC Features
  2018 International CET Conference on Control, Communication, and Computing, IC4 2018 2018 DOI: 10.1109/CETIC4.2018.8530947
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