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On EMG Silent-speech Recognition Data Collection

Zubkov, Andrey ; Marinov, Andrey

2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), 2019, p.0999-1001

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Título:
On EMG Silent-speech Recognition Data Collection
Autor: Zubkov, Andrey ; Marinov, Andrey
Assuntos: data acquisition ; data requirements ; fasttext ; machine learning ; open vocabulary ; silent speech recognition
É parte de: 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), 2019, p.0999-1001
Descrição: Silent-speech interfaces and communications are expected and desired technologies, that currently providing only the command-set options. Transferring recognition technology from predefined set to extensible one took 40 years[1]-[2] and thousand-fold growth of paper number according to IEEE library in case of audible speech. This paper proposes the approach for collection of time marked silent-speech recognition data(mostly EMG) using audible speech recognition engines and predefined texts, without using predefined time-related markdown.
Editor: IEEE
Idioma: Inglês

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