Ecole d'ingénieur et centre de recherche en Sciences du numérique

Anti-spoofing in automatic speaker recognition

Todisco, Massimiliano

ODYSSEY 2020, Speaker and Language Recognition Workshop, 1-5 Novembre 2020, Tokyo, Japan

Progress in biometric speaker authentication, also referred to as automatic speaker verification has advanced tremendously over the last 20 years. Today, speaker authentication technology is increasingly ubiquitous, being used for person authentication and access control across a broad range of different services and devices, e.g. telephone banking services and devices such as smartphones, home speakers and smartwatches that either contain or provide access to personal or sensitive data. Despite the clear advantages and proliferation of voice biometrics technology, persisting concerns regarding security vulnerabilities have dented public confidence. As a result, society has failed to benefit fully from the long-hyped promise of biometrics technology. The tutorial is structured in two parts: the lecture and the hands-on session. The aim of the lecture is to cover all aspects of spoofing attacks and spoofing detection methods in combination with the perspective of speaker verification, while the hands-on session will show how the techniques and concepts covered in the lecture could be implemented in practice.


Titre:Anti-spoofing in automatic speaker recognition
Département:Sécurité numérique
Eurecom ref:6222
Copyright: © EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in ODYSSEY 2020, Speaker and Language Recognition Workshop, 1-5 Novembre 2020, Tokyo, Japan and is available at :
Bibtex: @tutorial{EURECOM+6222, year = {2020}, title = {{A}nti-spoofing in automatic speaker recognition}, author = {{T}odisco, {M}assimiliano}, number = {EURECOM+6222}, month = {11}, institution = {Eurecom} address = {{T}okyo, {JAPON}}, url = {} }
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