Integrated Spoofing Countermeasures and Automatic Speaker Verification: an Evaluation on ASVspoof 2015
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CitationSahidullah, Md. Delgado, Hector. Todisco, Massimiliano. Yu, Hong. Kinnunen, Tomi. Evans, Nicholas. Tan, Zheng-Hua. (2016). Integrated Spoofing Countermeasures and Automatic Speaker Verification: an Evaluation on ASVspoof 2015. Proceedings of the 17th Annual Conference ot the International Speech Communication Association, 1700-1704. 10.21437/Interspeech.2016-1280.
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.