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International Journal of Speech Technology
Erschienen in: International Journal of Speech Technology 4/2017

10.10.2017

Performance enhancement of speaker identification systems using speech encryption and cancelable features

verfasst von: Naglaa F. Soliman, Zhraa Mostfa, Fathi E. Abd El-Samie, Mahmoud I. Abdalla

Erschienen in: International Journal of Speech Technology | Ausgabe 4/2017

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Abstract

Biometric systems based on speech features constitute a new and evolving trend in security. This paper is concerned with speaker identification systems. It studies traditional speaker identification systems based on cepstral analysis and neural classification. The paper develops the idea of remote access systems with speaker identification concepts by introducing efficient cryptosystems to achieve a large degree of security in these remote access speaker identification systems. The proposed approaches depend on chaos theory to maintain a low sensitivity to noise effect. Moreover, the concepts of cancelable biometrics are developed in this paper for more secure speaker identification. As known in the literature, cancelable image biometrics are used to save the features of the users from being stolen. If a similar approach is adopted in wireless access speaker identification systems as in this paper, the security can be enhanced to a great extent.
Vorheriger Artikel A waveform concatenation technique for text-to-speech synthesis
Nächster Artikel Dravidian language classification from speech signal using spectral and prosodic features

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Metadaten
Titel
Performance enhancement of speaker identification systems using speech encryption and cancelable features
verfasst von
Naglaa F. Soliman
Zhraa Mostfa
Fathi E. Abd El-Samie
Mahmoud I. Abdalla
Publikationsdatum
10.10.2017
Verlag
Springer US
Erschienen in
International Journal of Speech Technology / Ausgabe 4/2017
Print ISSN: 1381-2416
Elektronische ISSN: 1572-8110
DOI
https://doi.org/10.1007/s10772-017-9435-z

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