Alessandro Ilic Mezza — accepted AI-conference papers

2025

Leveraging Mixture of Experts for Improved Speech Deepfake Detection

Viola Negroni, Davide Salvi, Alessandro Ilic Mezza, Paolo Bestagini, Stefano Tubaro

ICASSP 2025accepted

Speech deepfakes pose a significant threat to personal security and content authenticity. Several detectors have been proposed in the literature, and one of the primary challenges these systems have to face is the generalization over unseen data to identify fake signals across a wide range of datase…

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2023

Zero-Shot Anomalous Sound Detection in Domestic Environments Using Large-Scale Pretrained Audio Pattern Recognition Models

Alessandro Ilic Mezza, Giulio Zanetti, Maximo Cobos, Fabio Antonacci

ICASSP 2023accepted

Anomalous sound detection is central to audio-based surveillance and monitoring. In a domestic environment, however, the classes of sounds to be considered anomalous are situation-dependent and cannot be determined in advance. At the same time, it is not feasible to expect a demanding labeling effor…

Cited by 0 Source ↗Scholar ↗