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
no code implementations • 25 May 2017 • Timur Pekhovsky, Maxim Korenevsky
New system for i-vector speaker recognition based on variational autoencoder (VAE) is investigated.