Edinburgh Research Explorer

Spoofing and Anti-Spoofing (SAS) corpus v1.0 

Dataset

Related Edinburgh Organisations

PublisherEdinburgh DataShare
Date made available27 May 2015

Abstract

This dataset is associated with the paper "'SAS: A speaker verification spoofing database containing diverse attacks': 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".

Data Citation

Wu, Zhizheng; Khodabakhsh, Ali; Demiroglu, Cenk; Yamagishi, Junichi; Saito, Daisuke; Toda, Tomoki; Ling, Zhen-Hua; King, Simon. (2015). Spoofing and Anti-Spoofing (SAS) corpus v1.0, [dataset]. University of Edinburgh. The Centre for Speech Technology Research (CSTR). http://dx.doi.org/10.7488/ds/252.

ID: 25402553