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Main Authors: Salehi, Mahsa, Stefanov, Kalin, Shareghi, Ehsan
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2402.14982
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author Salehi, Mahsa
Stefanov, Kalin
Shareghi, Ehsan
author_facet Salehi, Mahsa
Stefanov, Kalin
Shareghi, Ehsan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2402_14982
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence
Salehi, Mahsa
Stefanov, Kalin
Shareghi, Ehsan
Sound
Machine Learning
Audio and Speech Processing
Neurons and Cognition
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.
title Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence
topic Sound
Machine Learning
Audio and Speech Processing
Neurons and Cognition
url https://arxiv.org/abs/2402.14982