Deepfake Speech Detection: A Spectrogram Analysis-Reference-Cited by-同舟云学术

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Deepfake Speech Detection: A Spectrogram Analysis

Published:2024-04-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
language:
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Author:

Firc Anton¹^ORCID,Malinka Kamil¹^ORCID,Hanáček Petr¹^ORCID

Affiliation:

1. Brno University of Technology, Brno, Czech Republic

Funder

Brno University of Technology

Ministry of the Interior of the Czech Republic

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605098.3635911

Reference44 articles.

1. Muhammad Ejaz Ahmed, Il-Youp Kwak, Jun Ho Huh, Iljoo Kim, Taekkyung Oh, and Hyoungshick Kim. 2020. Void: A Fast and Light Voice Liveness Detection System. USENIX Association, USA.

2. Thomas Brewster. 2022. Fraudsters cloned company director's voice in $35 million bank heist police find. https://www.forbes.com/sites/thomasbrewster/2021/10/14/huge-bank-fraud-uses-deep-fake-voice-tech-to-steal-millions/?sh=776258a75591

3. Calculation of a constant Q spectral transform

4. Tom Bäckström. 2019. Spectrogram and the STFT. online. https://wiki.aalto.fi/display/ITSP/Spectrogram+and+the+STFT

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comprehensive multiparametric analysis of human deepfake speech recognition;EURASIP Journal on Image and Video Processing;2024-08-30

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