Audio Deepfake Detection With Self-Supervised Wavlm And Multi-Fusion Attentive Classifier
Author:
Affiliation:
1. Zhejiang University,Department of Information and Electronic Engineering,HangZhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447923.pdf?arnumber=10447923
Reference23 articles.
1. Spoofing and countermeasures for speaker verification: A review
2. Voice spoofing countermeasures: Taxonomy, state-of-the-art, experimental analysis of generalizability, open challenges, and the way forward;Khan;ArXiv,2022
3. Siamese Network with wav2vec Feature for Spoofing Speech Detection
4. wav2vec 2.0: A framework for self-supervised learning of speech representations;Baevski;Advances in Neural Information Processing Systems,2020
5. The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge
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1. Deep normalization for light SpineNet speaker anti-spoofing systems;Multimedia Tools and Applications;2024-07-23
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