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Easy, Interpretable, Effective: openSMILE for voice deepfake detection

Easy, Interpretable, Effective: openSMILE for voice deepfake detection

28 August 2024
Octavian Pascu
Dan Oneaţă
H. Cucu
Nicolas M. Muller
ArXivPDFHTML

Papers citing "Easy, Interpretable, Effective: openSMILE for voice deepfake detection"

4 / 4 papers shown
Title
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM
Yueying Zou
Peipei Li
Zekun Li
Huaibo Huang
Xing Cui
Xuannan Liu
Chenghanyu Zhang
Ran He
DeLMO
118
2
0
07 Feb 2025
A robust audio deepfake detection system via multi-view feature
A robust audio deepfake detection system via multi-view feature
Yujie Yang
Haochen Qin
Hang Zhou
Chengcheng Wang
Tianyu Guo
Kai Han
Yunhe Wang
38
26
0
04 Mar 2024
ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild
ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild
Xuechen Liu
Xin Wang
Md. Sahidullah
J. Patino
Héctor Delgado
...
Massimiliano Todisco
Junichi Yamagishi
Nicholas W. D. Evans
A. Nautsch
Kong Aik Lee
27
169
0
05 Oct 2022
Open Challenges in Synthetic Speech Detection
Open Challenges in Synthetic Speech Detection
Luca Cuccovillo
Christoforos Papastergiopoulos
Anastasios Vafeiadis
Artem Yaroshchuk
P. Aichroth
K. Votis
Dimitrios Tzovaras
41
27
0
15 Sep 2022
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