Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Anton Mitrofanov"'
Autor:
Aleksandr Laptev, Andrei Andrusenko, Ivan Podluzhny, Anton Mitrofanov, Ivan Medennikov, Yuri Matveev
Publikováno v:
Sensors, Vol 21, Iss 9, p 3063 (2021)
With the rapid development of speech assistants, adapting server-intended automatic speech recognition (ASR) solutions to a direct device has become crucial. For on-device speech recognition tasks, researchers and industry prefer end-to-end ASR syste
Externí odkaz:
https://doaj.org/article/1b84d4e524ff4dc399f870f076428d2a
Autor:
Andrei Andrusenko, Ivan Medennikov, Aleksandr Laptev, Yuri Matveev, Anton Mitrofanov, Ivan Podluzhny
Publikováno v:
Sensors
Volume 21
Issue 9
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 3063, p 3063 (2021)
Volume 21
Issue 9
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 3063, p 3063 (2021)
With the rapid development of speech assistants, adapting server-intended automatic speech recognition (ASR) solutions to a direct device has become crucial. Researchers and industry prefer to use end-to-end ASR systems for on-device speech recogniti
Autor:
Yuri Y. Khokhlov, Andrei Andrusenko, Maxim Korenevsky, Ivan Medennikov, Mariya Korenevskaya, Aleksandr Laptev, Anton Mitrofanov, Aleksei Romanenko, Ivan Podluzhny, Aleksei Ilin
Neural network-based language models are commonly used in rescoring approaches to improve the quality of modern automatic speech recognition (ASR) systems. Most of the existing methods are computationally expensive since they use autoregressive langu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cf51c8c93b6c2f3481391c44d0dce6a
http://arxiv.org/abs/2104.02526
http://arxiv.org/abs/2104.02526
Autor:
Ivan Medennikov, Maxim Korenevsky, Tatiana Prisyach, Yuri Khokhlov, Mariya Korenevskaya, Ivan Sorokin, Tatiana Timofeeva, Anton Mitrofanov, Andrei Andrusenko, Ivan Podluzhny, Aleksandr Laptev, Aleksei Romanenko
Publikováno v:
6th International Workshop on Speech Processing in Everyday Environments (CHiME 2020).
Autor:
Ivan Podluzhny, Ivan Sorokin, Yuri Y. Khokhlov, Andrei Andrusenko, Tatiana Prisyach, Mariya Korenevskaya, Aleksei Romanenko, Aleksandr Laptev, Maxim Korenevsky, Ivan Medennikov, Tatiana Timofeeva, Anton Mitrofanov
Publikováno v:
INTERSPEECH
Speaker diarization for real-life scenarios is an extremely challenging problem. Widely used clustering-based diarization approaches perform rather poorly in such conditions, mainly due to the limited ability to handle overlapping speech. We propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ae9f336565297623daccc3ef226a606
Autor:
Ivan Sorokin, Tatiana Prisyach, Aleksei Romanenko, Oleg Petrov, Alexander Zatvornitskiy, Anton Mitrofanov, Andrei Andrusenko, Vladimir Bataev, Yuri Y. Khokhlov, Mariya Korenevskaya, Ivan Medennikov
Publikováno v:
INTERSPEECH
Autor:
Yuri Y. Khokhlov, Ivan Sorokin, Alexander Zatvornitskiy, Andrei Andrusenko, Ivan Medennikov, Aleksei Romanenko, Anton Mitrofanov, Tatiana Prisyach, Mariya Korenevskaya, Vladimir Bataev, Oleg Petrov
Publikováno v:
INTERSPEECH
Autor:
Ivan Sorokin, Ivan Podluzhny, Aleksei Romanenko, Maxim Korenevsky, Andrei Andrusenko, Tatiana Prisyach, Ivan Medennikov, Tatiana Timofeeva, Anton Mitrofanov, Yuri Y. Khokhlov, Aleksandr Laptev, Mariya Korenevskaya
Publikováno v:
5th International Workshop on Speech Processing in Everyday Environments (CHiME 2018).
Autor:
Georgiou, Nicholas C., Ramnauth, Rebecca, Adeniran, Emmanuel, Lee, Michael, Selin, Lila, Scassellati, Brian
Publikováno v:
ACM Transactions on Human-Robot Interaction; Dec2023, Vol. 12 Issue 4, p1-33, 33p
Publikováno v:
SeeNews Research & Profiles (Industry Profiles). 2015, p15-54. 40p.