Joined Pindrop as a Research Scientist specializing in Computer Science. My role involves the development of a robust deepfake detection system, aimed at addressing real-world challenges. My research interests include Deepfake detection, Speaker recognition and Anti-spoofing.
I graduated (Ph.D.) from Sorbonne University, France, worked in the Audio Security and Privacy group, supervised by Prof. Nicholas Evans. I have interned in the Voice-ID group at Amazon, USA in 2022.
Updates:
- July 2024: Organising ASVspoof 2024 workshop as Interspeech 2024 satellite event . Registrations are open.
- June 2024: Three papers accepted at InterSpeech 2024.
- May 2024: ASVspoof5 detection challenge (phase2) is now started. Check it out here.
- January 2024: I joined Pindrop as a Research Scientist! I will be working on Audio deepfake detection.
- Nov 2023: I will be delivering a talk with Prof. Massimiliano Todisco (EURECOM) on "From Artefacts to Insights: A Topical Analysis of Voice Biometric Security" at the Joint Workshop of VoicePersonae and ASVspoof 2023, Tokyo, Japan. For more information check it out here.
- August 2023: Our paper entitled "t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators", accepted in IEEE transactions on pattern analysis and machine intelligence (TPAMI) 2023.
- August 2023: I will be offering a tutorial on "Advances in audio anti-spoofing and deepfake detection using graph neural networks and self-supervised learning" at INTERSPEECH 2023 Conference, Dublin, Ireland.
- July 2023: ASVspoof5 is now calling for spoofed speech data contributors. Check it out here.
- May 2023: Two papers accepted at InterSpeech 2023.