EPTLENet: Replay Attack Detection with Efficient Parameter Transfer Learning Based on ERes2Net
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5606-3_35
Reference24 articles.
1. Bharath, K.P., Kumar, M.R.: New replay attack detection using iterative adaptive inverse filtering and high frequency band. Expert Syst. Appl. 195, 116597 (2022)
2. Mittal, A., Dua, M.: Static-dynamic features and hybrid deep learning models based spoof detection system for ASV. Complex Intell. Syst. 8(2), 1153–1166 (2022)
3. Li, X., et al.: Replay and synthetic speech detection with Res2Net architecture. In: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Canada, pp. 6354–6358. IEEE (2021)
4. Meriem, F., Messaoud, B., Bahia, Y.: Texture analysis of edge mapped audio spectrogram for spoofing attack detection. Multimed. Tools. Appl. 83, 15915–15937 (2024)
5. Kinnunen, T., et al.: The ASVspoof 2017 challenge: assessing the limits of replay spoofing attack detection. In: Proceedings of the 18th Annual Conference of the International Speech Communication Association, pp. 2–6. ISCA (2017)
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