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
RESEARCH, TEACHING, or OTHER INTERESTS
Artificial Intelligence, Computer Science
424
Scholar Citations
11
Scholar h-index
12
Scholar i10-index
RECENT SCHOLAR PUBLICATIONS
The clever hans effect in voice spoofing detection B Chettri 2022 IEEE Spoken Language Technology Workshop (SLT), 577-584 , 2023 2023.0 Citations: 11
Data Quality as Predictor of Voice Anti-Spoofing Generalization B Chettri, RG Hautamäki, M Sahidullah, T Kinnunen Proc. Interspeech 2021 , 2021 2021.0 Citations: 11
Deep Generative Variational Autoencoding for Replay Spoof Detection in Automatic Speaker Verification B Chettri, T Kinnunen, E Benetos Computer Speech and Language 63, 101092 , 2020 2020.0 Citations: 33
Subband modeling for spoofing detection in automatic speaker verification B Chettri, T Kinnunen, E Benetos Proc. Odyssey 2020 The Speaker and Language Recognition Workshop, 341 - 348 , 2020 2020.0 Citations: 30
Ensemble Models for Spoofing Detection in Automatic Speaker Verification B Chettri, D Stoller, V Morfi, M A. M Ramírez, E Benetos, B L. Sturm Proc. Interspeech 2019 , 2019 2019.0 Citations: 127
Analysing the predictions of a cnn-based replay spoofing detection system B Chettri, S Mishra, BL Sturm, E Benetos 2018 IEEE spoken language technology workshop (SLT), 92-97 , 2018 2018.0 Citations: 50
Analysing replay spoofing countermeasure performance under varied conditions B Chettri, BL Sturm, E Benetos IEEE MLSP 2018, 1-6 , 2018 2018.0 Citations: 16
A study on convolutional neural network based end-to-end replay anti-spoofing B Chettri, S Mishra, BL Sturm, E Benetos arXiv preprint arXiv:1805.09164 , 2018 2018.0 Citations: 18
A Deeper Look at Gaussian Mixture Model Based Anti-Spoofing Systems B Chettri, BL Sturm Proc. ICASSP 2018 , 2018 2018.0 Citations: 38
Combining Weak Tokenisers for Phonotactic Language Recognition in a Resource-Constrained Setting. RWM Ng, B Chettri, T Hain Proc. Interspeech 2016, 2939-2943 , 2016 2016.0 Citations: 2
The Sheffield language recognition system in NIST LRE 2015. RWM Ng, M Nicolao, O Saz, M Hasan, B Chettri, M Doulaty, T Lee, T Hain Proc. Odyssey 2016, 181-187 , 2016 2016.0 Citations: 8
Sheffield LRE 2015 System Description in NIST 2015 Language recognition evaluation challenge. Raymond W. M. Ng, Mauro Nicolao, Oscar Saz, Madina Hasan, Bhusan Chettri ... 2015.0
Closed Set Text Independent Speaker Identification using Kernel Machines B Chettri 2014.0
Sparse representation based language identification using prosodic features for Indian languages OP Singh, BC Haris, R Sinha, B Chettri, A Pradhan 2013 Annual IEEE India Conference (INDICON), 1-5 , 2013 2013.0 Citations: 6
Nepali text to speech synthesis system using esnola method of concatenation B Chettri, KB Shah International Journal of Computer Applications 62 (2) , 2013 2013.0 Citations: 16
Current Trends, Frameworks and Techniques Used in Speech Synthesis–A Survey BK Thakur, B Chettri, KB Shah International Journal of Soft Computing and Engineering 2 (2), 2231-2307 , 2012 2012.0 Citations: 11
Voice biometric system security: Design and analysis of countermeasures for replay attacks. B Chettri PhD thesis, 2020, QMUL UK , 0 Citations: 5
Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark B Chettri, E Benetos, B L. T. Sturm IEEE/ACM TASLP 2020 , 0 Citations: 42
MOST CITED SCHOLAR PUBLICATIONS
Ensemble Models for Spoofing Detection in Automatic Speaker Verification B Chettri, D Stoller, V Morfi, M A. M Ramírez, E Benetos, B L. Sturm Proc. Interspeech 2019 , 2019 2019.0 Citations: 127
Analysing the predictions of a cnn-based replay spoofing detection system B Chettri, S Mishra, BL Sturm, E Benetos 2018 IEEE spoken language technology workshop (SLT), 92-97 , 2018 2018.0 Citations: 50
Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark B Chettri, E Benetos, B L. T. Sturm IEEE/ACM TASLP 2020 , 0 Citations: 42
A Deeper Look at Gaussian Mixture Model Based Anti-Spoofing Systems B Chettri, BL Sturm Proc. ICASSP 2018 , 2018 2018.0 Citations: 38
Deep Generative Variational Autoencoding for Replay Spoof Detection in Automatic Speaker Verification B Chettri, T Kinnunen, E Benetos Computer Speech and Language 63, 101092 , 2020 2020.0 Citations: 33
Subband modeling for spoofing detection in automatic speaker verification B Chettri, T Kinnunen, E Benetos Proc. Odyssey 2020 The Speaker and Language Recognition Workshop, 341 - 348 , 2020 2020.0 Citations: 30
A study on convolutional neural network based end-to-end replay anti-spoofing B Chettri, S Mishra, BL Sturm, E Benetos arXiv preprint arXiv:1805.09164 , 2018 2018.0 Citations: 18
Analysing replay spoofing countermeasure performance under varied conditions B Chettri, BL Sturm, E Benetos IEEE MLSP 2018, 1-6 , 2018 2018.0 Citations: 16
Nepali text to speech synthesis system using esnola method of concatenation B Chettri, KB Shah International Journal of Computer Applications 62 (2) , 2013 2013.0 Citations: 16
The clever hans effect in voice spoofing detection B Chettri 2022 IEEE Spoken Language Technology Workshop (SLT), 577-584 , 2023 2023.0 Citations: 11
Data Quality as Predictor of Voice Anti-Spoofing Generalization B Chettri, RG Hautamäki, M Sahidullah, T Kinnunen Proc. Interspeech 2021 , 2021 2021.0 Citations: 11
Current Trends, Frameworks and Techniques Used in Speech Synthesis–A Survey BK Thakur, B Chettri, KB Shah International Journal of Soft Computing and Engineering 2 (2), 2231-2307 , 2012 2012.0 Citations: 11
The Sheffield language recognition system in NIST LRE 2015. RWM Ng, M Nicolao, O Saz, M Hasan, B Chettri, M Doulaty, T Lee, T Hain Proc. Odyssey 2016, 181-187 , 2016 2016.0 Citations: 8
Sparse representation based language identification using prosodic features for Indian languages OP Singh, BC Haris, R Sinha, B Chettri, A Pradhan 2013 Annual IEEE India Conference (INDICON), 1-5 , 2013 2013.0 Citations: 6
Voice biometric system security: Design and analysis of countermeasures for replay attacks. B Chettri PhD thesis, 2020, QMUL UK , 0 Citations: 5
Combining Weak Tokenisers for Phonotactic Language Recognition in a Resource-Constrained Setting. RWM Ng, B Chettri, T Hain Proc. Interspeech 2016, 2939-2943 , 2016 2016.0 Citations: 2
Sheffield LRE 2015 System Description in NIST 2015 Language recognition evaluation challenge. Raymond W. M. Ng, Mauro Nicolao, Oscar Saz, Madina Hasan, Bhusan Chettri ... 2015.0
Closed Set Text Independent Speaker Identification using Kernel Machines B Chettri 2014.0
