Focused on machine learning and AI for sound and speech.
Artificial intelligence is intelligence that machines demonstrate, as opposed to the natural intelligence displayed by human or animals.
Voice authentication is a biometrics technique of speaker recognition which measure the distinctions in different voices to uniquely identify and authenticate real user.
Anti-spoofing is a technique that identify or detects recorded, computer generated, and computer modified voice, including deepfakes and voice cloning by fraudsters.
Ambient intelligence explains the ability of a computer or machine to AI system that detects and reacts to human presence. Common Examples about the usage of this technique is Siri & Alexa.
Machine learning (ML) is a field of computer science which focuses on the use of data and algorithms for accuracy in artificial intelligence.
A spectrogram is a visual way of representing spectrum of frequencies of a signal as it varies with time.
Guest Lecture by Bhusan Chettri on Fake Voice Detection Research Using Deep Learning.
Autoencoding for Replay Spoof Detection in Automatic Speaker Verification Presentation By Bhusan Chettri.
10/2021 – Present | AI researcher and consultant, Borac Solutions, India. |
09/2020 – 05/2021 | Lecturer, School of Electronic Engineering and Computer Science, Queen Mary University of London |
04/2020 – 02/2021 | Post-doctoral researcher, School of Computing, University of Eastern Finland |
10/2016 – 08/2020 | PhD researcher, School of Electronic Engineering and Computer Science, Queen Mary University of London |
05/2019 – 12/2019 | Project researcher, School of Computing, University of Eastern Finland |
01/2018 – 05/2020 | Part-time Lecturer, School of Electronic Engineering and Computer Science, Queen Mary University of London |
10/2014 – 08/2016 | Research assistant in Speech Technology, Speech and Hearning Research group, University of Sheffield |
09/2010 – 08/2013 | Associate Professor, Sikkim Manipal Insititute of Technology, Sikkim, India |
08/2006 – 08/2010 | Assistant Professor, Sikkim Manipal Insititute of Technology, Sikkim, India |
2016 – 2020
Doctor of Philosophy – PhD Voice technology | Deep Learning | Explainable AI from Queen Mary University of London.
My PhD thesis was focused on design and analysis of automatic voice spoofing detection systems.
2013 – 2014
Master’s Degree Computer Science with Speech and Language Processing (M.Sc.) – Passed with a Distinction75% from The University of Sheffield.
MAIN MODULES INCLUDE:
1) Machine Learning and Adaptive Intelligence
2) Text Processing with Python
3) Object Oriented Programming and Software Design – using Java
4) Natural Language Processing
5) Speech Processing
6) Modelling and Simulation of Natural Systems – using Matlab
7) Speech Technology
8) Intelligent Web
9) Research Dissertation
2008 – 2010
Master of Business Administration (M.B.A.) from Sikkim Manipal University – Distance Education.
2006 – 2009
Master’s Degree Computer Science and Engineering (M.Tech) 8.4/10 from Sikkim Manipal University, Gangtok
2001 – 2005
Bachelor’s Degree Computer Engineering (B.Tech) First Class from Sikkim Manipal University, Gangtok
It was a pleasure working with Bhusan, He is a very energetic & Intelligent personalty.
Daniëlle
Very Helpful for understanding Spoofing Attack and how
it can be prevented. understand what makes replay spoofing detection
difficult in the context. How mobile phones authentication systems are
at most risk for this. Good Job Bhusan Chettri Ji!
Have Any Project In Mind?
If you require consultancy services in AI and Machine Learning for speech and language processing, or if you are keen in research collaboration then please get in touch with me.
Contact Me