Spoofing countermeasures to protect automatic speaker verification from voice conversion

Federico Alegre, Asmaa Amehraye, Nicholas Evans
2013 2013 IEEE International Conference on Acoustics, Speech and Signal Processing  
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
more » ... ch 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.
doi:10.1109/icassp.2013.6638222 dblp:conf/icassp/AlegreAE13 fatcat:khsxv4c3bvf35eql3bajjwfvly