Multi-Lingual Deepfake Detection Challenge

Get Ready for a Deepfake Challenge!

Join us on 9th July 2025 for the groundbreaking Multilingual Deepfake Audio Detection Challenge, hosted by DA-IICT as part of the Summer School on Speech and Signal Processing (S4P). This competition is designed to advance the field of audio deepfake detection, a critical area in ensuring the security and integrity of audio content in today's digital world.

Participants will work with the DeepFox2.0: A Multi-Lingual Audio Deepfake Detection, one of the largest and most diverse audio datasets developed to date. This dataset includes over 1,125 hours of audio spanning 20 languages, with more than 400,000 audio files. The data includes both fully synthesized audio and novel “half-truth” samples, where segments of real audio are replaced with deepfakes generated using 51 state-of-the-art methods, which includes advance deepfake generation technologies such as GANs, LLMs, VCs, and TTS. These features make the task of detection particularly challenging and realistic.

Compete for a prize of total ₹22,500 (1st -> 10K, 2nd -> 7.5K, and 3rd -> 5K) and the opportunity to contribute to cutting-edge research while gaining hands-on experience with a highly challenging dataset. Whether you're a researcher, developer, or enthusiast, this challenge offers a unique platform to demonstrate your expertise and make a significant impact in the field of speech and signal processing.

Join us to explore, innovate, and shape the future of deepfake detection technologies!

Previous Summer School photo gallery

Organizing Authors

Arth J. Shah, Dharmendra H. Vaghera, Hemant A. Patil, and Ravindrakumar purohit 

Speech Research Lab Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar (India).