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pro vyhledávání: '"Mathew, Jonat John"'
Autor:
Yousif, Mohammed, Mathew, Jonat John, Pallan, Huzaifa, Padda, Agamjeet Singh, Shah, Syed Daniyal, Adamski, Sara, Reddiboina, Madhu, Pankajakshan, Arjun
Generalization in audio deepfake detection presents a significant challenge, with models trained on specific datasets often struggling to detect deepfakes generated under varying conditions and unknown algorithms. While collectively training a model
Externí odkaz:
http://arxiv.org/abs/2404.13008
Autor:
Mathew, Jonat John, Ahsan, Rakin, Furukawa, Sae, Kumar, Jagdish Gautham Krishna, Pallan, Huzaifa, Padda, Agamjeet Singh, Adamski, Sara, Reddiboina, Madhu, Pankajakshan, Arjun
Deepfake audio poses a rising threat in communication platforms, necessitating real-time detection for audio stream integrity. Unlike traditional non-real-time approaches, this study assesses the viability of employing static deepfake audio detection
Externí odkaz:
http://arxiv.org/abs/2403.11778