Bhusan Chettri

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About Bhusan Chettri

Dr.�Bhusan Chettri earned his doctorate degree from the�prestigious university in London: Queen Mary University of London (QMUL) in 2020 and a master's degree in speech and language technology from The University of Sheffield in 2014. Dr Bhusan Chettri�is currently working as a researcher in AI and Machine learning for sound and speech technology. His research interests include exploration of big data, understanding biases in data, fairness in ML decisions, interpretable machine learning, explainable AI and Unsupervised learning.

Bhusan Chettri's inspiring journey from small village to UK

Bhusan Chettri20 Jun, 2022News

Mr Bhusan Chettri comes from a small village in India. With his hard work and dedication he secured fully funded Principal research scholarship to pursue a PhD in Electronic Engineering at Queen Mary University of London and passed it with flying colors as evident from 5 top peer reviewed conference papers and two journal articles in top research venues. His research was focused on design and analysis of algorithms for voice spoofing attacks launched using pre-recorded speech.

Fooling Voice authentication systems overview1

Bhusan Chettri20 Jun, 2022Computer & Internet

Today?s ASV system trained on big-data and complex deep learning algorithms has shown superior performance on many benchmark datasets. They have demonstrated capability of recognising a person even using a small fragment of speech utterance. However, recent research has shown that they are not 100% secure. They are prone to fraudulent access launched through so called voice spoofing attacks. An attacker with malicious intention attempts to launch spoofing attacks using either pre-recorded voice of a target speaker (Replay attack), or generating synthetic voices using technologies such as Text-to-Speech (TTS) synthesis, Voice conversion (VC). They can also launch such spoofing attacks using impersonation or mimicry and for this to succeed the attacker must be a professional in performing the act of mimicry.