Is Audio Spoof Detection Robust to Laundering Attacks?
Author:
Affiliation:
1. University of Michigan-Dearborn, Dearborn, MI, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3658664.3659656
Reference31 articles.
1. Protecting Voice-Controlled Devices Against LASER Injection Attacks
2. Toward Robust Audio Spoofing Detection: A Detailed Comparison of Traditional and Learned Features
3. Edresson Casanova, Julian Weber, Christopher D Shulby, Arnaldo Candido Junior, Eren Gölge, and Moacir A Ponti. 2022. Yourtts: Towards zero-shot multi-speaker tts and zero-shot voice conversion for everyone. In International Conference on Machine Learning. PMLR, 2709--2720.
4. The QUT-NOISE-SRE protocol for the evaluation of noisy speaker recognition
5. ASVspoof 2017 Version 2.0: meta-data analysis and baseline enhancements
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