4 citations · 9 across the 8 of their papers we have counts for
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Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection
Jaskirat Sudan, Hashim Ali, Surya Subramani +1
Supervised contrastive learning (SupCon) is widely used to shape representations, but has seen limited targeted study for audio deepfake detection. Existing work typically combines…
A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio Deepfake Detection
Hashim Ali, Nithin Sai Adupa, Surya Subramani +1
Self-supervised learning (SSL) has transformed speech processing, with benchmarks such as SUPERB establishing fair comparisons across diverse downstream tasks. Despite it's securit…
LJ-Spoof: A Generatively Varied Corpus for Audio Anti-Spoofing and Synthesis Source Tracing
Surya Subramani, Hashim Ali, Hafiz Malik
Speaker-specific anti-spoofing and synthesis-source tracing are central challenges in audio anti-spoofing. Progress has been hampered by the lack of datasets that systematically va…