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Deep CNN based feature extractor for text-prompted speaker recognition
By using multitask learning scheme to train the high-level feature extractor we were able to surpass the classic baseline systems in terms of quality and achieved impressive results for such a novice approach, getting 2. 85% EER on the RSR2015 evaluation set.
On Residual CNN in text-dependent speaker verification task
Deep learning approaches are still not very common in the speaker verification field.
Audio-replay attack detection countermeasures
This paper presents the Speech Technology Center (STC) replay attack detection systems proposed for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017.
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