Bhusan Chettri

This tutorial from Bhusan Chettri provides an overview of different methods of interpretable machine learning (IML) a.k.a explainable AI (xAI) framework. This tutorial is the third installment of the interpretable AI tutorial series by Dr Bhusan Chettri a PhD graduate in AI and Voice Technology from Queen Mary University of London. The tutorial explains different approaches towards explaining or understanding the working phenomenon of data-driven machine learning models.

This tutorial from Bhusan Chettri provides an overview of Interpretable Machine Learning (IML) a.k.a Explainable AI (xAI) taking into account safety-critical application domains such as medicine, finance and security. This tutorial is the second installment of the interpretable AI tutorial series by Dr Chettri. The tutorial talks about the need for explanations from AI and Machine Learning (ML) models by providing two examples in order to provide a good context about the IML topic. Finally, it describes some of the important criterions that AI needs to satisfy for successfull adoption

This tutorial from Bhusan Chettri is focused on providing an in-depth understanding of IML from multiple standpoint taking into consideration different usages (use-cases), different application domains and emphasising why it is important to understand how a machine learning model demonstrating impressive results make their decisions. The tutorial also discusses if such impressive results are trustworthy to be adopted by humans for use in various safety-critical businesses for example: medicine, finance and security.

In this article, Bhusan Chettri takes a deeper look at how different biometric authentication methods are used, their limitations and advantages and how voice biometrics is different from them, and why the future of authentication should be based on voice will be discussed. Bhusan Chettri says, u201cmany methods for biometric authentication are based on measuring the similarity of data points in the feature space".

Bhusan Chettri a Ph.D in Machine Learning for Fake Voice detection, graduate of Queen Mary University of London (QMUL), explains the fundamentals of how todayu2019s AI technology and computers are capable of producing human-like sounding synthetic voices; he discusses their various applications and talks about advantages along with the threat it imposes on voice-controlled applications.

Use of AI and Machine Learning for automatically recognizing a person using their voice. Bhusan Chettri provides an overview of the technology, discusses different key steps in building such an automatic systems, their practical applications, problems in building such systems are also discussed.

In this article, Dr. Bhusan Chettri provides a summary of ASVspoof - automatic speaker verification spoofing and countermeasures challenge - which is a biannual competition organised by the Speaker verification community to promote research and awareness in spoofing attacks towards voice authentication system while encouraging participation in the challenge to advance the research field in this topic. As part of the challenge, big-data to train and tune machine learning models for spoofing detection is released free of cost !!

In this article, Dr Bhusan Chettri provides a brief overview on voice spoofing technology. He summarises different spoofing approaches in the context of automatic speaker verification technology.

In this article Dr. Bhusan Chettri aims at providing an overview of voice authentication system using AI. Both traditional and latest approaches based on deep learning and big-data are summarised to give you and insight on the technology.

With a great sense of professionalism, Bhusan Chettri is also active in social activities in his native country. Currently, he paid a visit to the Old Age Home, based in Koka, Assam. He spent some valuable time with old aged people living there, understanding their problems and needs. He made several contributions to this old age home in the form of their expenses while aiding them with food assistance.

Mr Bhusan Chettri is a researcher in AI and Machine learning applied to sound and speech technology. He earned his PhD from the prestigious Queen Mary University in London and a master's degree in speech and language processing from The University of Sheffield.