Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Axyonov, A."'
Autor:
Ryumin, Dmitry, Axyonov, Alexandr, Ryumina, Elena, Ivanko, Denis, Kashevnik, Alexey, Karpov, Alexey
Publikováno v:
In Expert Systems With Applications 15 October 2024 252 Part A
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 23, Iss 4, Pp 767-775 (2023)
Visual speech recognition or automated lip-reading systems actively apply to speech-to-text translation. Video data proves to be useful in multimodal speech recognition systems, particularly when using acoustic data is difficult or not available at
Externí odkaz:
https://doaj.org/article/66375603e608485f93cbe94a01929e68
Autor:
E. N. Ilyinskikh, E. N. Filatova, A. V. Semenova, Yu. I. Bulankov, V. N. Nekrasov, Yu. V. Minakova, S. V. Axyonov, O. V. Voronkova, K. V. Samoylov, N. S. Buzhak
Publikováno v:
Журнал инфектологии, Vol 15, Iss 2, Pp 74-83 (2023)
Objective: is to assess clinical and laboratory prognostic factors to develop a differential diagnostic model between the monoinfection of tick-borne encephalitis febrile form and the mixed infection of tick-borne encephalitis with Lyme borreliosis n
Externí odkaz:
https://doaj.org/article/45f4796343a5447b9ea570bf057a1cd9
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W3-2023, Pp 209-216 (2023)
Automatic sign gesture recognition (GR) plays a critical role in facilitating communication between hearing-impaired individuals and the rest of society. However, recognizing sign gestures accurately and efficiently remains a challenging task due to
Externí odkaz:
https://doaj.org/article/db1563d0d63a4952b23bd5a917a16c76
Publikováno v:
Компьютерная оптика, Vol 46, Iss 6, Pp 955-962 (2022)
The paper proposes a method of visual analysis for automatic speech recognition of the vehicle driver. Speech recognition in acoustically noisy conditions is one of big challenges of artificial intelligence. The problem of effective automatic lip-rea
Externí odkaz:
https://doaj.org/article/f072be7316aa453f942983362a000386
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 22, Iss 3, Pp 585-593 (2022)
This paper aims to investigate the possibility of robustness enhancement as applied to an automatic system for isolated signs and sign languages recognition, through the use of the most informative spatiotemporal visual features. The authors present
Externí odkaz:
https://doaj.org/article/f5f456fc03844ad8803ccf5996735184
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-2-W1-2021, Pp 7-13 (2021)
This paper presents a new method for collecting multimodal sign language (SL) databases, which is distinguished by the use of multimodal video data. The paper also proposes a new method of multimodal sign recognition, which is distinguished by the an
Externí odkaz:
https://doaj.org/article/17e0491a6f7342edbe47d4d1b1d703be
Autor:
Alexey Kashevnik, Igor Lashkov, Alexandr Axyonov, Denis Ivanko, Dmitry Ryumin, Artem Kolchin, Alexey Karpov
Publikováno v:
IEEE Access, Vol 9, Pp 34986-35003 (2021)
This paper introduces a new methodology aimed at comfort for the driver in-the-wild multimodal corpus creation for audio-visual speech recognition in driver monitoring systems. The presented methodology is universal and can be used for corpus recordi
Externí odkaz:
https://doaj.org/article/60344f4f44a74ff993eb7328cb0de551
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W12, Pp 179-183 (2019)
In this paper, we propose an approach to detect and recognize 3D one-handed gestures for human-machine interaction. The logical structure of the modules of the system for recording a gestural database is described. The logical structure of the databa
Externí odkaz:
https://doaj.org/article/f18b4090af384adf82a2ff446cfcce49
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. :209-216
Automatic sign gesture recognition (GR) plays a critical role in facilitating communication between hearing-impaired individuals and the rest of society. However, recognizing sign gestures accurately and efficiently remains a challenging task due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bbcb9ad741847696e0bab4f61fbd8dd
https://doi.org/10.5194/isprs-archives-xlviii-2-w3-2023-209-2023
https://doi.org/10.5194/isprs-archives-xlviii-2-w3-2023-209-2023