Paper Info
Title
The Asvspoof 2017 Challenge: Assessing The Limits Of Replay Spoofing Attack Detection
Abstract
The ASVspoof initiative was created to promote the development of countermeasures which aim to protect automatic speaker verification (ASV) from spoofing attacks. The first community-led, common evaluation held in 2015 focused on countermeasures for speech synthesis and voice conversion spoofing attacks. Arguably, however, it is replay attacks which pose the greatest threat. Such attacks involve the replay of recordings collected from enrolled speakers in order to provoke false alarms and can be mounted with greater ease using everyday consumer devices. ASVspoof 2017, the second in the series, hence focused on the development of replay attack countermeasures. This paper describes the database, protocols and initial findings. The evaluation entailed highly heterogeneous acoustic recording and replay conditions which increased the equal error rate (EER) of a baseline ASV system from 1.76% to 31.46%. Submissions were received from 49 research teams. 20 of which improved upon a baseline replay spoofing detector EER of 24.77%, in terms of replay/non-replay discrimination. While largely successful, the evaluation indicates that the quest for countermeasures which are resilient in the face of variable replay attacks remains very much alive.
Year
DOI
Venue
2017
10.21437/Interspeech.2017-1111
18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION
Keywords
Field
DocType
automatic speaker verification, spoofing, countermeasure, replay attacks, ASVspoof
Countermeasure,World Wide Web,Spoofing attack,Computer security,Computer science,Replay attack
Conference
ISSN
Citations 
PageRank 
2308-457X
32
1.09
References 
Authors
0
7
Name
Order
Citations
PageRank
Tomi Kinnunen1132386.67
Md. Sahidullah232624.99
hector delgado37810.47
Massimiliano Todisco413817.80
nicholas evans559454.41
junichi yamagishi61906145.51
Kong-Aik Lee770960.64