Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Novoselov Sergey"'
Publikováno v:
BIO Web of Conferences, Vol 37, p 00100 (2021)
Winter rye is of great importance in strengthening and developing the grain economy of the Non-Chernozem region of Russia. In recent years, due to the high cost of fertilizers and plant protection products, agricultural producers have begun to pay mo
Externí odkaz:
https://doaj.org/article/6a51b2a8a29846359f13c1721dd6b1d0
Publikováno v:
BIO Web of Conferences, Vol 37, p 00098 (2021)
This research has been conducted to study the influence of pre-sowing tillage methods on the crop contamination and spring wheat yield. It has been established that the use of continuous cultivation in the system of pre-sowing tillage contributes to
Externí odkaz:
https://doaj.org/article/cba088b66250466fbcca5667c7b24974
Publikováno v:
E3S Web of Conferences, Vol 161, p 01045 (2020)
The scientific and technological development of Russia is aimed at food security and food independence of the country. The problem is solved by using local raw materials, as well. Of high priority is the creation of food products with the pre-set fun
Externí odkaz:
https://doaj.org/article/fda08e2ee7204ee0a41304f21df66d11
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 on short speech segments are optimal for short phrase speaker verificat
Externí odkaz:
http://arxiv.org/abs/2210.16231
Investigation of Different Calibration Methods for Deep Speaker Embedding based Verification Systems
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 such systems often remains out of focus. An irrelevant score calibration
Externí odkaz:
http://arxiv.org/abs/2203.15106
Autor:
Novoselov, Sergey, Lavrentyeva, Galina, Avdeeva, Anastasia, Volokhov, Vladimir, Gusev, Aleksei
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 presents an investigation of using wav2vec 2.0 deep speech representation
Externí odkaz:
http://arxiv.org/abs/2203.15095
Publikováno v:
E3S Web of Conferences, Vol 21, p 01034 (2017)
The paper presents the problem of methane explosions prevention in the most hazardous mine section — working face, based on the preventive measures to exclude key factors of methane explosion. The measures of the methane explosions prevention in th
Externí odkaz:
https://doaj.org/article/c6cf6d7303e444cc8375ad83ddfd1f8e
Autor:
Avdeeva, Anastasia, Gusev, Aleksei, Korsunov, Igor, Kozlov, Alexander, Lavrentyeva, Galina, Novoselov, Sergey, Pekhovsky, Timur, Shulipa, Andrey, Vinogradova, Alisa, Volokhov, Vladimir, Smirnov, Evgeny, Galyuk, Vasily
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 of a number of diverse subsystems based on using deep neural networks
Externí odkaz:
http://arxiv.org/abs/2111.02298
Autor:
Gusev, Aleksei, Volokhov, Vladimir, Andzhukaev, Tseren, Novoselov, Sergey, Lavrentyeva, Galina, Volkova, Marina, Gazizullina, Alice, Shulipa, Andrey, Gorlanov, Artem, Avdeeva, Anastasia, Ivanov, Artem, Kozlov, Alexander, Pekhovsky, Timur, Matveev, Yuri
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. From the practical point of vi
Externí odkaz:
http://arxiv.org/abs/2002.06033
Autor:
Novoselov, Sergey, Gusev, Aleksei, Ivanov, Artem, Pekhovsky, Timur, Shulipa, Andrey, Lavrentyeva, Galina, Volokhov, Vladimir, Kozlov, Alexandr
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 on the problem of speaker recognition in single channel distant/far-fie
Externí odkaz:
http://arxiv.org/abs/1904.06093