Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
On emg silent-speech recognition data collection. / Zubkov, Andrey; Marinov, Andrey.
SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 999-1001 8958407 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - On emg silent-speech recognition data collection
AU - Zubkov, Andrey
AU - Marinov, Andrey
N1 - Publisher Copyright: © 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/10
Y1 - 2019/10
N2 - 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.
AB - 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.
KW - data acquisition
KW - data requirements
KW - fasttext
KW - machine learning
KW - open vocabulary
KW - silent speech recognition
UR - http://www.scopus.com/inward/record.url?scp=85079033945&partnerID=8YFLogxK
U2 - 10.1109/SIBIRCON48586.2019.8958407
DO - 10.1109/SIBIRCON48586.2019.8958407
M3 - Conference contribution
AN - SCOPUS:85079033945
SN - 978-1-7281-4402-3
T3 - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
SP - 999
EP - 1001
BT - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019
Y2 - 21 October 2019 through 27 October 2019
ER -
ID: 28278637