Integrated Spoofing Countermeasures and Automatic Speaker Verification: An Evaluation on ASVspoof 2015

Md. Sahidullah, Héctor Delgado, Massimiliano Todisco, Hong Yu, Tomi Kinnunen, Nicholas Evans, Zheng-Hua Tan


It is well known that automatic speaker verification (ASV) systems can be vulnerable to spoofing. The community has responded to the threat by developing dedicated countermeasures aimed at detecting spoofing attacks. Progress in this area has accelerated over recent years, partly as a result of the first standard evaluation, ASVspoof 2015, which focused on spoofing detection in isolation from ASV. This paper investigates the integration of state-of-the-art spoofing countermeasures in combination with ASV. Two general strategies to countermeasure integration are reported: cascaded and parallel. The paper reports the first comparative evaluation of each approach performed with the ASVspoof 2015 corpus. Results indicate that, even in the case of varying spoofing attack algorithms, ASV performance remains robust when protected with a diverse set of integrated countermeasures.


DOI: 10.21437/Interspeech.2016-1280

Cite as

Sahidullah, M., Delgado, H., Todisco, M., Yu, H., Kinnunen, T., Evans, N., Tan, Z. (2016) Integrated Spoofing Countermeasures and Automatic Speaker Verification: An Evaluation on ASVspoof 2015. Proc. Interspeech 2016, 1700-1704.

Bibtex
@inproceedings{Sahidullah+2016,
author={Md. Sahidullah and Héctor Delgado and Massimiliano Todisco and Hong Yu and Tomi Kinnunen and Nicholas Evans and Zheng-Hua Tan},
title={Integrated Spoofing Countermeasures and Automatic Speaker Verification: An Evaluation on ASVspoof 2015},
year=2016,
booktitle={Interspeech 2016},
doi={10.21437/Interspeech.2016-1280},
url={http://dx.doi.org/10.21437/Interspeech.2016-1280},
pages={1700--1704}
}