Robust Audio Anti-Spoofing System Based on Low-Frequency Sub-Band Information
Author:
Affiliation:
1. Toronto Metropolitan University,Department of Electrical, Computer and Biomedical Engineering,Toronto,ON,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10248019/10248047/10248132.pdf?arnumber=10248132
Reference22 articles.
1. Significance of Subband Features for Synthetic Speech Detection
2. Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?
3. Spoofing Attack Detection Using the Non-Linear Fusion of Sub-Band Classifiers
4. End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detection
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. Detecting Manipulated Audio Using Adaboost Machine Learning Algorithm;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02
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