Author
Wu, Z., Khodabakhsh, Ali, Demiroğlu, Cenk, Yamagishi, J., Saito, D., Toda, T., King, S.
Publication Date
2015
Publication Place
-
IEEE
Subject
Database management systems, Security of data, Speaker recognition, Speech synthesis
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1520-6149
Record ID
88d2202e-5735-48fe-b3fd-329d4da4a355
Library Location
Electrical & Electronics Engineering
Date
2015
Notes
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text
This paper presents the first version of a speaker verification spoofing and anti-spoofing database, named SAS corpus. The corpus includes nine spoofing techniques, two of which are speech synthesis, and seven are voice conversion. We design two protocols, one for standard speaker verification evaluation, and the other for producing spoofing materials. Hence, they allow the speech synthesis community to produce spoofing materials incrementally without knowledge of speaker verification spoofing and anti-spoofing. To provide a set of preliminary results, we conducted speaker verification experiments using two state-of-the-art systems. Without any anti-spoofing techniques, the two systems are extremely vulnerable to the spoofing attacks implemented in our SAS corpus.
DOI
10.1109/ICASSP.2015.7178810
