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Bhusan Chettri

Independent Researcher and Consultant · Borac Solutions

https://researchid.co/bhusanchettri
@boracsolutions.com
424Google Scholar Citations
11Google Scholar h-index
12Google Scholar i10-index

Research Interests

Explainable AI, Fair Machine Learning

Biography

Bhusan Chettri is an AI researcher working on machine learning and AI for sound and speech with a strong focus on explainable AI (understanding how a model forms its decision). Bhusan Chettri (Member, IEEE) received the M.Sc. degree in speech and language processing from the University of Sheffield in 2014. Then he worked as a Research Assistant with the Speech and Hearing Research group, Sheffield University for two years. He earned his undergraduate and post-graduate degrees in Computer Science from Sikkim Manipal University, India in 2005 and 2008 respectively. Before moving to Sheffield for MSc degree he also earned an MBA degree in Computer Systems from SMUDE, India. He received the Ph.D. degree in Electronic Engineering from Queen Mary University of London (QMUL) in 2020.

Education

PhD in AI

Recent Google Scholar Publications

  1. The clever hans effect in voice spoofing detection
    2022 IEEE Spoken Language Technology Workshop (SLT), 577-584 , 2023, 2023.0 | Citations: 11.0
  2. Data Quality as Predictor of Voice Anti-Spoofing Generalization
    Proc. Interspeech 2021 , 2021, 2021.0 | Citations: 11.0
  3. Deep Generative Variational Autoencoding for Replay Spoof Detection in Automatic Speaker Verification
    Computer Speech and Language 63, 101092 , 2020, 2020.0 | Citations: 33.0
  4. Subband modeling for spoofing detection in automatic speaker verification
    Proc. Odyssey 2020 The Speaker and Language Recognition Workshop, 341 - 348 , 2020, 2020.0 | Citations: 30.0
  5. Ensemble Models for Spoofing Detection in Automatic Speaker Verification
    Proc. Interspeech 2019 , 2019, 2019.0 | Citations: 127.0

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