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

Title	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
Publication Date:	2016-04
Publication Place	- IEEE
Subject	Speaker verification, Speech synthesis, Voice conversion, Spoofing attack, Anti-spoofing, Countermeasure, Security
Type	Periodical
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	2329-9290
Record ID	8d749ef0-fb40-4ad8-9c1b-b3976f9076a3
Library Location	Electrical & Electronics Engineering
Date	2016-04
Notes	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text	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

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

Publication Date 2016-04

Publication Place - IEEE

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

Type Periodical

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 2329-9290

Record ID 8d749ef0-fb40-4ad8-9c1b-b3976f9076a3

Library Location Electrical & Electronics Engineering

Date 2016-04

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

Sample Text 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