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Audio Deepfake Detection

Speaker Verification › Audio Deepfake Detection 9 평가 기록 2 datasets

Nowadays, deepfake is now generically used by the media or people to refer to any audio or video in which important attributes have been either digitally altered or swapped, with the help of artificial intelligence (AI). Audio deepfake detection is a task that aims to distinguish genuine utterances from fake ones via machine learning techniques.

논문

AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks

2110.01200 2021-10-04 이 페이지의 평가 1건

21LA EER: 11.4621DF EER: 21.07

Audio Deepfake Detection with Self-Supervised XLS-R and SLS Classifier

2024-10-28 이 페이지의 평가 1건

21LA EER: 2.8621DF EER: 1.96

Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation

2202.12233 2022-02-24 이 페이지의 평가 1건

21LA EER: 1.021DF EER: 3.69

Bts-e: Audio deepfake detection using breathing-talking-silence encoder

2023-05-05 이 페이지의 평가 1건

21LA EER: 8.7521DF EER: /

End-to-end anti-spoofing with RawNet2

2011.01108 2020-11-02 이 페이지의 평가 1건

21LA EER: 40.0721DF EER: 40.06

End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation

2504.20923 2025-04-29 이 페이지의 평가 1건

EER: 0.25

End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection

2107.12710 2021-07-27 이 페이지의 평가 1건

21LA EER: 10.2521DF EER: 23.26

Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

2406.17376 2024-06-25 이 페이지의 평가 1건

21LA EER: 2.9921DF EER: 2.14

XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection

2411.10027 2024-11-15 이 페이지의 평가 1건

21LA EER: 0.9321DF EER: 1.88