no code implementations • 28 Oct 2022 • Sergey Novoselov, Vladimir Volokhov, Galina Lavrentyeva
According to our observations systems trained on short speech segments are optimal for short phrase speaker verification and systems trained on long segments are superior for long segments verification.
no code implementations • 28 Mar 2022 • Galina Lavrentyeva, Sergey Novoselov, Andrey Shulipa, Marina Volkova, Aleksandr Kozlov
An additional focus of this research is to estimate the impact of score normalization on the calibration performance of the system.
no code implementations • 28 Mar 2022 • Sergey Novoselov, Galina Lavrentyeva, Anastasia Avdeeva, Vladimir Volokhov, Aleksei Gusev
Recent advances in unsupervised speech representation learning discover new approaches and provide new state-of-the-art for diverse types of speech processing tasks.
no code implementations • 3 Nov 2021 • Anastasia Avdeeva, Aleksei Gusev, Igor Korsunov, Alexander Kozlov, Galina Lavrentyeva, Sergey Novoselov, Timur Pekhovsky, Andrey Shulipa, Alisa Vinogradova, Vladimir Volokhov, Evgeny Smirnov, Vasily Galyuk
This paper presents a description of STC Ltd. systems submitted to the NIST 2021 Speaker Recognition Evaluation for both fixed and open training conditions.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 14 Feb 2020 • Aleksei Gusev, Vladimir Volokhov, Tseren Andzhukaev, Sergey Novoselov, Galina Lavrentyeva, Marina Volkova, Alice Gazizullina, Andrey Shulipa, Artem Gorlanov, Anastasia Avdeeva, Artem Ivanov, Alexander Kozlov, Timur Pekhovsky, Yuri Matveev
Speaker recognition systems based on deep speaker embeddings have achieved significant performance in controlled conditions according to the results obtained for early NIST SRE (Speaker Recognition Evaluation) datasets.
no code implementations • 12 Apr 2019 • Sergey Novoselov, Aleksei Gusev, Artem Ivanov, Timur Pekhovsky, Andrey Shulipa, Galina Lavrentyeva, Vladimir Volokhov, Alexandr Kozlov
The challenge's SR task is focused on the problem of speaker recognition in single channel distant/far-field audio under noisy conditions.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
1 code implementation • 11 Apr 2019 • Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren, Marina Volkova, Artem Gorlanov, Alexandr Kozlov
We enhanced Light CNN architecture previously considered by the authors for replay attacks detection and which performed high spoofing detection quality during the ASVspoof2017 challenge.
no code implementations • 24 Nov 2018 • Aigul Nugmanova, Andrei Smirnov, Galina Lavrentyeva, Irina Chernykh
The results obtained for the implemented systems and reported in this paper confirm the significant improvement of automated dialogue systems quality in case of using the negative responses from transformed distribution.
no code implementations • 13 Mar 2018 • Sergey Novoselov, Oleg Kudashev, Vadim Schemelinin, Ivan Kremnev, Galina Lavrentyeva
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.
no code implementations • 24 May 2017 • Galina Lavrentyeva, Sergey Novoselov, Egor Malykh, Alexander Kozlov, Oleg Kudashev, Vadim Shchemelinin
This paper presents the Speech Technology Center (STC) replay attack detection systems proposed for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017.
no code implementations • 24 May 2017 • Galina Lavrentyeva, Sergey Novoselov, Konstantin Simonchik
We compared several spoofing detection systems, presented so far, on the development and evaluation datasets of the Automatic SpeakerVerification Spoofing and Countermeasures (ASVspoof) Challenge 2015. Experimental results presented in this paper demonstrate that the useof magnitude and phase information combination provides a substantialinput into the efficiency of the spoofing detection systems.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 29 Jul 2015 • Sergey Novoselov, Alexandr Kozlov, Galina Lavrentyeva, Konstantin Simonchik, Vadim Shchemelinin
This paper presents the Speech Technology Center (STC) systems submitted to Automatic Speaker Verification Spoofing and Countermeasures (ASVspoof) Challenge 2015.