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"
}