Rohan Kumar Das

Real-world speaker identification can thrive even with missing modalities and multilingual contexts, challenging the status quo of multimodal systems.

Top systems in the ESDD2 challenge achieved a staggering Macro-F1 score of 0.8775, revealing the power of modular design and self-supervised learning in audio deepfake detection.

Environmental sound deepfakes are a rising threat, and this challenge reveals the current state-of-the-art in detecting them, highlighting both the progress and remaining gaps.