Detail publikace

Comprehensive Multiparametric Analysis of Human Deepfake Speech Recognition

MALINKA, K. FIRC, A. ŠALKO, M. PRUDKÝ, D. RADAČOVSKÁ, K. HANÁČEK, P.

Originální název

Comprehensive Multiparametric Analysis of Human Deepfake Speech Recognition

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Deepfake, Synthetic speech, Deepfake detection, Human perception, Speech quality, Cybersecurity

Autoři

MALINKA, K.; FIRC, A.; ŠALKO, M.; PRUDKÝ, D.; RADAČOVSKÁ, K.; HANÁČEK, P.

Vydáno

30. 8. 2024

ISSN

1687-5281

Periodikum

Eurasip Journal on Image and Video Processing

Ročník

2024

Číslo

24

Stát

Spojené státy americké

Strany od

1

Strany do

25

Strany počet

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"
}