Publications

International refereed journal articles:

  1. B. Chettri, E. Benetos, and B. L. Sturm, “Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 28, pp. 3018-3028, Nov. 2020. [PDF]
  2. B. Chettri, T. Kinnunen, E. Benetos, “Deep Generative Variational Autoencoding for Replay Spoof Detection in Automatic Speaker Verification”, Computer Speech & Language, 63: pp 1-18, September 2020 [PDF]

International refereed conference articles:

  1. B. Chettri, R. González Hautamäki, M. Sahidullah, T. Kinnunen, “Data Quality as Predictor of Voice Anti-Spoofing Generalization”, Proc. INTERSPEECH, pp. 1659-1663, Brno, Czech Republic, 2021. [PDF ]
  2. B. Chettri, T. Kinnunen, E. Benetos, “Subband modeling for Spoofing Detection in Automatic Speaker Verification”, Proc. Odyssey 2020, pp. 341-348, Tokyo, Japan, Nov. 2020 [PDF]
  3. B. Chettri, D. Stoller, V. Morfi, M. Martinez, E. Benetos and B. L. Sturm, “Ensemble models for spoofing detection in automatic speaker verification”, in Proc. INTERSPEECH, pp. 1018-1022, Sept. 2019 [PDF].
  4. B. Chettri, S. Mishra, B. Sturm, and E. Benetos, “Analysing the predictions of a CNN-based replay spoofing detection system”, in Proc. 2018 IEEE Spoken Language Technology Workshop (SLT), pp. 92-97, Dec. 2018 [PDF].
  5. B. Chettri, B. Sturm, and E. Benetos, “Analysing replay spoofing countermeasure performance under varied conditions”, in Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Sep. 2018 [PDF].
  6. B. Chettri and B. L. Sturm, “A Deeper Look at Gaussian Mixture Model Based Anti-Spoofing Systems,” 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, pp. 5159-5163 [PDF]
  7. R.W.M. Ng, B. Chettri, T. Hain, “Combining Weak Tokenisers for Phonotactic Language Recognition in a Resource-Constrained Setting”, Proc. INTERSPEECH 2016, pp 2939-2943 [PDF].
  8. R.W.M Ng, M. Nicolao, O. Saz, M. Hasan, B. Chettri, M. Doulaty, T. Lee, T. Hain, “The Sheffield language recognition system in NIST LRE 2015”, Proc Odyssey 2016 [PDF].
  9. O. P. Singh, BC Haris, R. Sinha, B. Chettri, A. Pradhan, “Sparse representation based language identification using prosodic features for Indian languages”, 2013 Annual IEEE India Conference (INDICON) [Link].
  10. Bhusan Chettri, “The Clever Hans Effect in Voice Spoofing Detection,” 2022 IEEE Spoken Language Technology Workshop (SLT), Doha, Qatar, 2023, pp. 577-584, doi: 10.1109/SLT54892.2023.10022624. [Video]

Preprint arxivs and others:

  • B. Chettri, S. Mishra, B. L. Sturm, E. Benetos, “A study on convolutional neural network based end-to-end replay anti-spoofing”, arXiv preprint arXiv:1805.09164, 2018 [PDF].
  • B. Chettri, K.B Shah, “Nepali text to speech synthesis system using esnola method of concatenation”, International Journal of Computer Applications, 2013 [PDF]
  • B.K. Thakur, B. Chettri, K.B. Shah, “Current Trends, Frameworks and Techniques Used in Speech Synthesis–A Survey”, International Journal of Soft Computing and Engineering, Vol 2, Issue 2, pp 2231-2307, 2012 [PDF].

Theses

  1. B.  Chettri, “Voice biometric system security: Design and analysis of countermeasures for replay attacks”, PhD thesis, 2020, Queen Mary University of London, UK [PDF].
  2. B. Chettri, “Closed Set Text Independent Speaker Identification using Kernel Machines”, MSc thesis, Department of Computer Science, University of Sheffield, 2014. [PDF].