Multimodal Corpus Design for Audio-Visual Speech Recognition in Vehicle Cabin

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 recording for different languages. We present an analysis...

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Autors principals:	Alexey Kashevnik, Igor Lashkov, Alexandr Axyonov, Denis Ivanko, Dmitry Ryumin, Artem Kolchin, Alexey Karpov
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2021-01-01
Col·lecció:	IEEE Access
Matèries:	Driver monitoring automatic speech recognition multimodal corpus human–computer interaction
Accés en línia:	https://ieeexplore.ieee.org/document/9364986/
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