Zhizheng Wu, Tomi Kinnunen, Nicholas Evans and Junichi Yamagishi
IEEE Signal Processing Society Speech and Language Technical Committee Newsletter (SLTC Newsletter), 20 November 2015
Abstract: Mounting evidence has exposed the potential vulnerability of biometric authentication systems to spoofing. In response, there has been a movement in the academic community over the last two decades to develop spoofing countermeasures. The research is now relatively mature, with several competitive evaluations having been organised for various modalities including face, fingerprint and iris recognition. The first significant action within the speaker recognition community involved the organisation of a Special Session at Interspeech 2013 entitled 'Spoofing and Countermeasures for Automatic Speaker Verification'. An IEEE SLTC newsletter article released in conjunction with that initiative set out the importance to research progress of standard datasets, protocols and metrics. The authors of this article subsequently embarked upon the preparation of the first standard evaluation for automatic speaker verification (ASV). This came to fruition in the form of ASVspoof: the Automatic Speaker Verification Spoofing and Countermeasures Challenge. The first edition, ASVspoof 2015, was held as a special session at Interspeech 2015. This article outlines the challenge, participation, results and the organisers' plans for a second edition.