Neural Network Based on Convolutional, Recurrent Layers and an Attention Mechanism for Visual Speech Recognition

Visual speech recognition is the task of classifying spoken words or letters from a video stream capturing lip movements. This paper presents the synthesis and study of a neural network architecture for visual speech recognition based on a combination of convolutional and recurrent neural networks w...

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Detalhes bibliográficos

Principais autores:	D. Makar, M. Vashkevich
Formato:	Artigo
Idioma:	Russo
Publicado em:	Educational institution «Belarusian State University of Informatics and Radioelectronics» 2026-03-01
Colecção:	Доклады Белорусского государственного университета информатики и радиоэлектроники
Assuntos:	visual speech recognition avletters2 convolutional neural network recurrent neural network attention mechanism
Acesso em linha:	https://doklady.bsuir.by/jour/article/view/4301
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