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Horia Cucu

2 accepted papers

2026

UNDERSTANDING THE STRENGTHS AND WEAKNESSES OF SSL MODELS FOR AUDIO DEEPFAKE MODEL ATTRIBUTION

ICASSP 2026oral

Audio deepfake model attribution aims to mitigate the misuse of synthetic speech by identifying the source model responsible for generating a given audio sample, enabling accountability and informing vendors. The task is challenging, but self-supervised learning (SSL)-derived acoustic features have…

Cited by 0SourcePDFScholar
2025

Easy, Interpretable, Effective: openSMILE for voice deepfake detection

ICASSP 2025accepted

In this paper, we demonstrate that attacks in the latest ASVspoof5 dataset—a de facto standard in the field of voice authenticity and deepfake detection—can be identified with surprising accuracy using a small subset of very simplistic features. These are derived from the openSMILE library, and are…

Cited by 0SourceScholar