April 18, 2024, 4:43 a.m. | Amit Kumar Singh Yadav, Kratika Bhagtani, Davide Salvi, Paolo Bestagini, Edward J. Delp

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.10989v1 Announce Type: new
Abstract: Methods that can generate synthetic speech which is perceptually indistinguishable from speech recorded by a human speaker, are easily available. Several incidents report misuse of synthetic speech generated from these methods to commit fraud. To counter such misuse, many methods have been proposed to detect synthetic speech. Some of these detectors are more interpretable, can generalize to detect synthetic speech in the wild and are robust to noise. However, limited work has been done on …

arxiv bias cs.cv cs.lg cs.mm cs.sd detectors eess.as speech synthetic synthetic speech type understanding

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