Konstantin Simonchik

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This paper presents the Speech Technology Center (STC) systems submitted to Automatic Speaker Verification Spoofing and Countermeasures (ASVspoof) Challenge 2015. In this work we investigate different acoustic feature spaces to determine reliable and robust countermeasures against spoofing attacks. In addition to the commonly used front-end MFCC features we(More)
This paper presents a development of previous research by P.Kenny, which deals with using a supervised PLDA mixture of two gender-dependent speaker verification systems under the conditions of gender uncertainty. We propose using PLDA mixtures for speaker verification in different channels. However, in contrast to creating a gender-independent mixture, the(More)