Cancelable speaker identification based on cepstral coefficients and comb filters-Reference-Cited by-同舟云学术

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Cancelable speaker identification based on cepstral coefficients and comb filters

Published:2022-04-24 Issue:2 Volume:25 Page:471-492
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Monir Mohamed,Kareem Mona,El-Dolil Sami M.,Saleeb Adel,El-Fishawy Adel S.,Nassar Mohamed Abd-Elsalam,Zein Eldin Mohamed A.,Abd El-Samie Fathi E.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Link

https://link.springer.com/content/pdf/10.1007/s10772-021-09804-4.pdf

Reference27 articles.

1. Abd El-Samie, F. E. (2017). Information security for automatic speaker identification. International Journal of Speech Technology., 20, 977–1004.

2. Al-Nuaimy, W., El-Bendary, M. A. M., Shafik, A., Shawki, F., Abou-El-azm, A. E., El-Fishawy, N. A., et al. (2011). An SVD audio watermarking approach using chaotic encrypted image. Digital Signal Process, 21(6), 764–779.

3. Asaker A. A., Sharkawy, Z. F. E. L., Nassar, S., Ayad, N., Zahran, O. & Abd EL-Samie F. E. (2020). A novel cancellable Iris template generation based on salting approach. Multimedia Tools and Applications.

4. Chauhan, N. & Chandra, M. (2017). Speaker recognition and verification using artificial neural network. In International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

5. Chen, H., & Chen, H. (2010). A hybrid scheme for securing fingerprint templates. International Journal of Information Security, 9, 353–361.

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