Graduate School and Research Center in Digital Sciences

Spoofing countermeasures to protect automatic speaker verification from voice conversion

Alegre, Federico; Amehraye, Asmaa; Evans, Nicholas

ICASSP 2013, 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, May 26-31, 2013, Vancouver, Canada

This paper presents a new countermeasure for the protection of automatic speaker verification systems from spoofed, converted voice signals. The new countermeasure exploits the common shift applied to the spectral slope of consecutive speech frames involved in the mapping of a spoofer's voice signal towards a statistical model of a given target. While the countermeasure exploits prior knowledge of the attack in an admittedly unrealistic sense, it is shown to detect almost all spoofed signals which otherwise provoke significant increases in false acceptance. The work also discusses the need for formal evaluations to develop new countermeasures which are less reliant on prior knowledge.

Document Doi Hal Bibtex

Title:Spoofing countermeasures to protect automatic speaker verification from voice conversion
Keywords:automatic speaker verification, biometrics, spoofing, imposture, countermeasures
Type:Conference
Language:English
City:Vancouver
Country:CANADA
Date:
Department:Digital Security
Eurecom ref:3961
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Bibtex: @inproceedings{EURECOM+3961, doi = {http://dx.doi.org/10.1109/ICASSP.2013.6638222}, year = {2013}, title = {{S}poofing countermeasures to protect automatic speaker verification from voice conversion}, author = {{A}legre, {F}ederico and {A}mehraye, {A}smaa and {E}vans, {N}icholas}, booktitle = {{ICASSP} 2013, 38th {IEEE} {I}nternational {C}onference on {A}coustics, {S}peech, and {S}ignal {P}rocessing, {M}ay 26-31, 2013, {V}ancouver, {C}anada}, address = {{V}ancouver, {CANADA}}, month = {05}, url = {http://www.eurecom.fr/publication/3961} }
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