ASV (automatic speaker verification) systems are intrinsically required to reject both non-target (e.g., voice uttered by different speaker) and spoofed (e.g., synthesised or converted) inputs. However, there is little consideration for how ASV systems themselves should be adapted when they are expected to encounter spoofing attacks, nor when they operate in tandem with CMs (spoofing countermeasures), much less how both systems should be jointly optimised. The goal of the first SASV (spoofing-aware speaker verification) challenge, a special sesscion in ISCA INTERSPEECH 2022, is to promote development of integrated systems that can perform ASV and CM simultaneously.
@article{arxiv.2201.10283,
title = {SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan},
author = {Jee-weon Jung and Hemlata Tak and Hye-jin Shim and Hee-Soo Heo and Bong-Jin Lee and Soo-Whan Chung and Hong-Goo Kang and Ha-Jin Yu and Nicholas Evans and Tomi Kinnunen},
journal= {arXiv preprint arXiv:2201.10283},
year = {2022}
}
Comments
Evaluation plan of the SASV Challenge 2022. See this webpage for more information: https://sasv-challenge.github.io