A Cancelable Biometric Approach for Efficient Identification of Speakers from Encrypted Speech

Biometric systems based on feature extraction from speech signals are extensively deployed in different security systems. This work presents a secure speaker identification system, namely cancelable speaker identification system, which can be further used for remote access applications. Two formulat...

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Veröffentlicht in:	Wireless personal communications 2022-06, Vol.124 (3), p.1899-1921
Hauptverfasser:	Abd El-Wahab, Basant S., El-Khobby, Heba A., Elnaby, Mustafa M. Abd, El-Samie, Fathi E. Abd
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Biometrics Communications Engineering Computer Communication Networks Computer systems Cryptography Encryption Engineering Feature extraction Identification systems Networks Noise levels Security systems Signal to noise ratio Signal,Image and Speech Processing Speech recognition
Online-Zugang:	Volltext
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