Authors
Zhizheng Wu, Junichi Yamagishi, Tomi Kinnunen, Cemal Hanilçi, Mohammed Sahidullah, Aleksandr Sizov, Nicholas Evans, Massimiliano Todisco, Hector Delgado
Publication date
2017/2/17
Journal
IEEE Journal of Selected Topics in Signal Processing
Volume
11
Issue
4
Pages
588-604
Publisher
IEEE
Description
Concerns regarding the vulnerability of automatic speaker verification (ASV) technology against spoofing can undermine confidence in its reliability and form a barrier to exploitation. The absence of competitive evaluations and the lack of common datasets has hampered progress in developing effective spoofing countermeasures. This paper describes the ASV Spoofing and Countermeasures (ASVspoof) initiative, which aims to fill this void. Through the provision of a common dataset, protocols, and metrics, ASVspoof promotes a sound research methodology and fosters technological progress. This paper also describes the ASVspoof 2015 dataset, evaluation, and results with detailed analyses. A review of postevaluation studies conducted using the same dataset illustrates the rapid progress stemming from ASVspoof and outlines the need for further investigation. Priority future research directions are presented in …
Total citations
20162017201820192020202120222023202443705582789114112160
Scholar articles
Z Wu, J Yamagishi, T Kinnunen, C Hanilçi… - IEEE Journal of Selected Topics in Signal Processing, 2017