Anti-spoofing for text-independent speaker verification: An initial database, comparison of countermeasures, and human performance

Name: Anti-spoofing for text-independent speaker verification: An initial database, comparison of countermeasures, and human performance
Author: Wu, Z., Leon, P. L. de, Demiroğlu, Cenk, Khodabakhsh, Ali

İsim	Anti-spoofing for text-independent speaker verification: An initial database, comparison of countermeasures, and human performance
Yazar	Wu, Z., Leon, P. L. de, Demiroğlu, Cenk, Khodabakhsh, Ali
Basım Tarihi:	2016-04
Basım Yeri	- IEEE
Konu	Speaker verification, Speech synthesis, Voice conversion, Spoofing attack, Anti-spoofing, Countermeasure, Security
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2329-9290
Kayıt Numarası	8d749ef0-fb40-4ad8-9c1b-b3976f9076a3
Lokasyon	Electrical & Electronics Engineering
Tarih	2016-04
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	In this paper, we present a systematic study of the vulnerability of automatic speaker verification to a diverse range of spoofing attacks. We start with a thorough analysis of the spoofing effects of five speech synthesis and eight voice conversion systems, and the vulnerability of three speaker verification systems under those attacks. We then introduce a number of countermeasures to prevent spoofing attacks from both known and unknown attackers. Known attackers are spoofing systems whose output was used to train the countermeasures, while an unknown attacker is a spoofing system whose output was not available to the countermeasures during training. Finally, we benchmark automatic systems against human performance on both speaker verification and spoofing detection tasks.
DOI	10.1109/TASLP.2016.2526653
Cilt	24

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Anti-spoofing for text-independent speaker verification: An initial database, comparison of countermeasures, and human performance

Yazar Wu, Z., Leon, P. L. de, Demiroğlu, Cenk, Khodabakhsh, Ali

Basım Tarihi 2016-04

Basım Yeri - IEEE

Konu Speaker verification, Speech synthesis, Voice conversion, Spoofing attack, Anti-spoofing, Countermeasure, Security

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2329-9290

Kayıt Numarası 8d749ef0-fb40-4ad8-9c1b-b3976f9076a3

Lokasyon Electrical & Electronics Engineering

Tarih 2016-04

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin In this paper, we present a systematic study of the vulnerability of automatic speaker verification to a diverse range of spoofing attacks. We start with a thorough analysis of the spoofing effects of five speech synthesis and eight voice conversion systems, and the vulnerability of three speaker verification systems under those attacks. We then introduce a number of countermeasures to prevent spoofing attacks from both known and unknown attackers. Known attackers are spoofing systems whose output was used to train the countermeasures, while an unknown attacker is a spoofing system whose output was not available to the countermeasures during training. Finally, we benchmark automatic systems against human performance on both speaker verification and spoofing detection tasks.

DOI 10.1109/TASLP.2016.2526653

Cilt 24