Publication detail
Comprehensive Multiparametric Analysis of Human Deepfake Speech Recognition
MALINKA, K. FIRC, A. ŠALKO, M. PRUDKÝ, D. RADAČOVSKÁ, K. HANÁČEK, P.
Original Title
Comprehensive Multiparametric Analysis of Human Deepfake Speech Recognition
Type
journal article in Web of Science
Language
English
Original Abstract
In this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research. First, we pioneer an evaluation of the impact of prior information on deepfake recognition, setting our work apart by simulating real-world attack scenarios where individuals are not informed in advance of deepfake exposure. This approach simulates the unpredictability of real-world deepfake attacks, providing unprecedented insights into human vulnerability under realistic conditions. Second, we introduce a novel metric to evaluate the quality of deepfake audio. This metric facilitates a deeper exploration into how the quality of deepfake speech influences human detection accuracy. By examining both the effect of prior knowledge about deepfakes and the role of deepfake speech quality, our research reveals the importance of these factors, contributes to understanding human vulnerability to deepfakes, and suggests measures to enhance human detection skills.
Keywords
Deepfake, Synthetic speech, Deepfake detection, Human perception, Speech quality, Cybersecurity
Authors
MALINKA, K.; FIRC, A.; ŠALKO, M.; PRUDKÝ, D.; RADAČOVSKÁ, K.; HANÁČEK, P.
Released
30. 8. 2024
ISBN
1687-5281
Periodical
Eurasip Journal on Image and Video Processing
Year of study
2024
Number
24
State
United States of America
Pages from
1
Pages to
25
Pages count
25
URL
BibTex
@article{BUT189344,
author="Kamil {Malinka} and Anton {Firc} and Milan {Šalko} and Daniel {Prudký} and Karolína {Radačovská} and Petr {Hanáček}",
title="Comprehensive Multiparametric Analysis of Human Deepfake Speech Recognition",
journal="Eurasip Journal on Image and Video Processing",
year="2024",
volume="2024",
number="24",
pages="25",
doi="10.1186/s13640-024-00641-4",
issn="1687-5281",
url="https://jivp-eurasipjournals.springeropen.com/articles/10.1186/s13640-024-00641-4"
}