Assistant Professor

Dr Bidhan Barai

Department of Computer Science and Engineering

Interests

  1. Patter Recognition
  2. Machine Learning and Artificial Intelligence
  3. Speaker Recognition
  4. Image Processing

Education

2007

Jadavpur University
India
BE

2011

Jadavpur University
India
M.Tech.

2022

Jadavpur University
India
Ph.D.

Experience

  • 2012-2014 – Project Linked Person – CVPR & ISRU (formerly BIRU) Division, Indian Statistical Institute, Kolkata
  • March 2022 – July 2022 – Assistant Professor, Swami Vivekananda Institute of Science & Technology, Kolkata
  • August 2022 – February 2025 – Assistant Professor, CSE(AI&ML), Techno Main Salt Lake, Kolkata

Research Interest

  • Design and implementation of machine learning and pattern recognition algorithms (such as SVM and GMMs) to identify or verify a person based on their speech characteristics with an emphasis on enhancing robustness by extracting usable features (such as MFCC, iVector, and xVector).
  • Manipulation and analysis of digital images using algorithms to extract information and classify objects. Application of ML models (such as CNN, RNN, R-CNN) for the task such as object detection, segmentation, and recognition.

Awards & Fellowships

  • 2009 - Qualify Graduate Aptitude Test – MHRD, India.
  • 2015-2020 – RGNF Fellowship for PhD – UGC, India

Memberships

  • Memberships in professional associations to be listed

Publications

  • An empirical study on analysis window functions for text-independent speaker recognition – Barai, B., Chakraborty, T., Das, N., Basu S., Nasipuri M. – International Journal of Speech Technology, 26, 211–220 (2023).
  • Closed-set speaker identification using VQ and GMM based models – Barai, B., Chakraborty, T., Das, N., Basu S., Nasipuri M. – International Journal of Speech Technology, 25, 173–196 (2022).
  • An asr system using mfcc and vq/gmm with emphasis on environmental dependency – Barai, B., Das, D., Das, N., Basu, S., & Nasipuri, M. – 2017 IEEE Calcutta Conference (CALCON), 362-366 (2017).
  • Closed-set Text Independent Automatic Speaker Recognition System Using VQ/GMM – Barai, B., Das, D., Das, N., Basu, S., & Nasipuri, M. – Intelligent Engineering Informatics, 695, 337-346 (2018).
  • VQ/GMM-Based Speaker Identification with Emphasis on Language Dependency – Barai, B., Das, D., Das, N., Basu, S., Nasipuri, M. – 6th International Doctoral Symposium Advanced Computing and Systems for Security, 883, 125–141 (2019).
  • Closed-Set Device-Independent Speaker Identification Using CNN – Chakraborty, T., Barai, B., Chatterjee, B., Das, N., Basu, S., Nasipuri, M. – International Conference on Intelligent Computing and Communication (ICICC). Advances in Intelligent Systems and Computing, 1034, 291–299, (2020).
  • A Hybrid Deep Learning Framework for Text Independent Automatic Speaker Recognition System – Harh, A., Bandhu, S., Barai, B., Singh, P K. – 3rd International Conference on Advanced Computing and Applications (ICACA 2024).
  • A Chain code-based Methodology for Loop Closure Detection in Digital Images – Das, R., Barai, B., Singh, P K. – 3rd International Conference on Advanced Computing and Applications (ICACA 2024).
  • An Efficient Deep Convolutional Neural Network for Automated Bird Sound Classification – Harh, A., Bandhu,S, Barai, B., Das, N., Singh, P.K. – 2nd International Conference on Data Analytics and Insights (ICDAI-2024).
  • 10. Automatic Heartbeat Classification for Arrhythmia using Deep Learning Based on Electrocardiogram Signals – Bera, S., Mondal, P., Dey, S., Bhattacharya, D., Barai, B., Singh, P. K. – 3rd International Conference on Data, Electronics and Computing (ICDEC-2024).

Contact Details

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