Standard
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. p. 999-1001 8958407 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Zubkov, A & Marinov, A 2019,
On emg silent-speech recognition data collection. in
SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings., 8958407, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 999-1001, 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019, Novosibirsk, Russian Federation,
21.10.2019.
https://doi.org/10.1109/SIBIRCON48586.2019.8958407APA
Vancouver
Zubkov A, Marinov A.
On emg silent-speech recognition data collection. In SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 999-1001. 8958407. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). doi: 10.1109/SIBIRCON48586.2019.8958407
Author
Zubkov, Andrey ; Marinov, Andrey. /
On emg silent-speech recognition data collection. SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 999-1001 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).
BibTeX
@inproceedings{7e837e1b057e4cdabee21f3aac7ee5d9,
title = "On emg silent-speech recognition data collection",
abstract = "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.",
keywords = "data acquisition, data requirements, fasttext, machine learning, open vocabulary, silent speech recognition",
author = "Andrey Zubkov and Andrey Marinov",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 ; Conference date: 21-10-2019 Through 27-10-2019",
year = "2019",
month = oct,
doi = "10.1109/SIBIRCON48586.2019.8958407",
language = "English",
isbn = "978-1-7281-4402-3",
series = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "999--1001",
booktitle = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
address = "United States",
}
RIS
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 -
