Graduate School and Research Center in Digital Sciences

Introduction to the issue on spoofing and countermeasures for automatic speaker verification

Yamagishi, Junichi; Kinnunen, Tomi H; Evans, Nicholas; De Leon, Phillip; Trancoso, Isabel

IEEE Journal of Selected Topics in Signal Processing, Vol. 11, N°4, June 2017

The papers in this special issue focus on automatic speaker verification (ASV) technologies and applications for their use. ASV offers a low-cost and flexible solution to biometric authentication. While there liability ofASV systems is now considered sufficient to support mass-market adoption, there are concerns that the technology is vulnerable to spoofing, also referred to as presentation attacks. Spoofing refers to an attack whereby a fraudster attempts to manipulate a biometric system by masquerading as another, enrolled person. Replayed, synthesized and converted speech spoofing attacks can all be used to present high-quality, convincing speech signals which are representative of other, specific speakers and thus present a genuine threat to the reliability of ASV authentication systems.

Doi Bibtex

Title:Introduction to the issue on spoofing and countermeasures for automatic speaker verification
Type:Journal
Language:English
City:
Date:
Department:Digital Security
Eurecom ref:5206
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Bibtex: @article{EURECOM+5206, doi = {http://dx.doi.org/10.1109/JSTSP.2017.2698143}, year = {2017}, month = {05}, title = {{I}ntroduction to the issue on spoofing and countermeasures for automatic speaker verification}, author = {{Y}amagishi, {J}unichi and {K}innunen, {T}omi {H} and {E}vans, {N}icholas and {D}e {L}eon, {P}hillip and {T}rancoso, {I}sabel}, journal = {{IEEE} {J}ournal of {S}elected {T}opics in {S}ignal {P}rocessing, {V}ol. 11, {N}°4, {J}une 2017}, url = {http://www.eurecom.fr/publication/5206} }
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