Publisher
Springer Science and Business Media LLC
Reference121 articles.
1. Wu, Z., Evans, N., Kinnunen, T., Yamagishi, J., Alegre, F., & Li, H. (2015). Spoofing and countermeasures for speaker verification: A survey. Speech Communication, 66, 130–153.
2. Malik, K. M., Malik, H., & Baumann, R. (2019). “Towards vulnerability analysis of voice-driven interfaces and countermeasures for replay attacks. IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2019, 523–528.
3. Patil, H. A., & Kamble, M. R. (2018). A survey on replay attack detection for automatic speaker verification (ASV) system. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018, 1047–1053.
4. Qian, Y., Chen, N., Dinkel, H., & Wu, Z. (2017). Deep feature engineering for noise robust spoofing detection. AIEEE/ACM Transactions on Audio Speech and Language Processing, 25(10), 1942–1955.
5. Lavrentyeva, G., Novoselov, S., Malykh, E., Kozlov, A., Kudashev, O., Shchemelinin, V. (2017). Audio replay attack detection with deep learning frameworks. Interspeech 82–86.