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Temporal Variability and Multi-Viewed Self-Supervised Representations to
  Tackle the ASVspoof5 Deepfake Challenge

Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge

13 August 2024
Yuankun Xie
Xiaopeng Wang
Zhiyong Wang
Ruibo Fu
Zhengqi Wen
Haonan Cheng
Long Ye
ArXivPDFHTML

Papers citing "Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge"

2 / 2 papers shown
Title
Experimental Study: Enhancing Voice Spoofing Detection Models with
  wav2vec 2.0
Experimental Study: Enhancing Voice Spoofing Detection Models with wav2vec 2.0
Taein Kang
Soyul Han
Sunmook Choi
Jaejin Seo
Sanghyeok Chung
Seungeun Lee
Seungsang Oh
Il-Youp Kwak
33
7
0
27 Feb 2024
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph
  Attention Networks
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
Jee-weon Jung
Hee-Soo Heo
Hemlata Tak
Hye-jin Shim
Joon Son Chung
Bong-Jin Lee
Ha-Jin Yu
Nicholas W. D. Evans
116
279
0
04 Oct 2021
1