activity
20172022
most citedRobust Speaker Recognition with Transformers Using wav2vec 2.0

11 citations · 20 across the 8 of their papers we have counts for

collaborators

12 papers

cs.SD2022

Universal speaker recognition encoders for different speech segments duration

Sergey Novoselov, Vladimir Volokhov, Galina Lavrentyeva

Creating universal speaker encoders which are robust for different acoustic and speech duration conditions is a big challenge today. According to our observations systems trained o…

cs.SD2022

Investigation of Different Calibration Methods for Deep Speaker Embedding based Verification Systems

Galina Lavrentyeva, Sergey Novoselov, Andrey Shulipa +2

Deep speaker embedding extractors have already become new state-of-the-art systems in the speaker verification field. However, the problem of verification score calibration for suc…

cs.SD202211 cited

Robust Speaker Recognition with Transformers Using wav2vec 2.0

Sergey Novoselov, Galina Lavrentyeva, Anastasia Avdeeva +2

Recent advances in unsupervised speech representation learning discover new approaches and provide new state-of-the-art for diverse types of speech processing tasks. This paper pre…

cs.SD2021

STC speaker recognition systems for the NIST SRE 2021

Anastasia Avdeeva, Aleksei Gusev, Igor Korsunov +9

This paper presents a description of STC Ltd. systems submitted to the NIST 2021 Speaker Recognition Evaluation for both fixed and open training conditions. These systems consists…

cs.SD20205 cited

Deep Speaker Embeddings for Far-Field Speaker Recognition on Short Utterances

Aleksei Gusev, Vladimir Volokhov, Tseren Andzhukaev +11

Speaker recognition systems based on deep speaker embeddings have achieved significant performance in controlled conditions according to the results obtained for early NIST SRE (Sp…

cs.SD2019

STC Speaker Recognition Systems for the VOiCES From a Distance Challenge

Sergey Novoselov, Aleksei Gusev, Artem Ivanov +5

This paper presents the Speech Technology Center (STC) speaker recognition (SR) systems submitted to the VOiCES From a Distance challenge 2019. The challenge's SR task is focused o…