Eklavya Sarkar
Fields of expertise
- Deep Learning
- Self-Supervised Learninng
- Speech and Audio Processing
- Generative Adversarial Networks
- Face Morphing
- Bio-acoustics, animal vocalizations
- Kohonen Self-Organizing Maps
- Self-Supervised Learninng
- Speech and Audio Processing
- Generative Adversarial Networks
- Face Morphing
- Bio-acoustics, animal vocalizations
- Kohonen Self-Organizing Maps
Biography
Eklavya Sarkar is currently a Research Assistant and Doctoral Student at EPFL, working in the Speech and Audio Processing group at Idiap Research Institute, under the supervision of Dr. Mathew Magimai Doss. His project is funded by the SNSF's NCCR Evolving Languages project, under the Automatic Speech Recognition (ASR) Work Package of the Transversal Task Force (TTF) Technology.Previously, he was a Research Intern in the Biometrics Security and Privacy lab at Idiap, under Dr. Sébastien Marcel, working on the Generation, Detection, and Vulnerability Analysis of Face Recognition Systems to Face Morphing Presentation Attacks, particularly on novel methods involving StyleGAN2.
He also worked as an intern at CERN, under Dr. Archana Sharma, on the 'CMS-GEM' collaboration at the CMS Experiment Lab.
He was affiliated with Prof. and Nobel Laureate Didier Queloz and supervised by Dr. Daniel Kessler for a project on Exoplanets during high-school, which was selected for the TM-TPE Colloque Transfrontalier 2013, also at CERN.
He holds:
- - MSc in Data Science from the University of Bath (2018-19), with a thesis supervised by Dr. Wenbin Li.
- - BSc in Computer Science from the University of Liverpool (2015-18), with a thesis supervised by Dr. Irina Biktasheva.
- He is a Swiss citizen who grew up in Geneva, Switzerland after moving from New Delhi, India at the age of 10. In his free time he enjoys making and publishing silly indie games made on Unity, Swimming, Skiing, and holds a diploma in Film-Making from Brighton Film School.
Professional course
Research Assistant
Speech and Audio Processing
Idiap Research Institute
2021-Present
Research Intern
Biometrics
Idiap Research Institute
2020-2021
Intern
CMS Experiment
CERN
Jul-Sep 2017
Education
PhD
Machine Learning
EPFL
2021-Present
MSc
Data Science
University of Bath
2018-19
BSc
Computer Science
University of Liverpool
2015-18
Publications
Selected publications
| E. Sarkar, M. Magimai Doss Interspeech 2023 |
Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers? |
| E. Sarkar, R. Prasad, M. Magimai Doss Interspeech 2022 |
Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering |
| E. Sarkar, P. Korschunov, L. Colbois, S. Marcel ICASSP 2022 |
Are GAN-based Morphs Threatening Face Recognition? |
| E. Sarkar, P. Korschunov, L. Colbois, S. Marcel ArXiv |
Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks |
Research
Research Summary
The Swiss National Centre of Competence in Research (NCCR) Evolving Language is a nationwide interdisciplinary research consortium bringing together research groups from the humanities, from language and computer science, the social sciences, and the natural sciences at an unprecedented level. Together, we aim at solving one of humanity’s great mysteries: How did our species develop the capacity for linguistic expression, for processing language in the brain, and for consistently passing down new variations to the next generation? How will our capacity for language change in the face of digital communication and neuroengineering?The NCCR Evolving Language explores the evolutionary origins and future development of linguistic communication with an unprecedented transdisciplinary research programme. We conceptualise language as a system of components with distinct evolutionary trajectories and adopt a large-scale comparative framework to study these trajectories in nature and function along three thematic axes. These three lines of research are complemented by Transversal Task Forces (TTFs). TTFs will stimulate interdisciplinary collaboration by sharing methods, databases, technologies, and equipment and by fostering NCCR-wide discussions on conceptual and ethical issues.
Teaching & PhD
Teaching Assistant
UniDistance's Master in Artificial Intelligence:- M09: Introduction to Speech Processing (4 ETCS)