Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence

Autor:	Salehi, Mahsa, Stefanov, Kalin, Shareghi, Ehsan
Rok vydání:	2024
Předmět:	Computer Science - Sound Computer Science - Machine Learning Electrical Engineering and Systems Science - Audio and Speech Processing Quantitative Biology - Neurons and Cognition
Druh dokumentu:	Working Paper
Popis:	In this paper we study the variations in human brain activity when listening to real and fake audio. Our preliminary results suggest that the representations learned by a state-of-the-art deepfake audio detection algorithm, do not exhibit clear distinct patterns between real and fake audio. In contrast, human brain activity, as measured by EEG, displays distinct patterns when individuals are exposed to fake versus real audio. This preliminary evidence enables future research directions in areas such as deepfake audio detection. Comment: 9 pages, 4 figures, 3 tables
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2402.14982 Zobrazit plný text záznamu View this record from Arxiv