IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2020-03-16 10:30
Cloud Speech Recognition Process Management Method Based on Device Sensor Information
Yu Fujita, Isao Tazawa, Masaharu Ukeda (Hitachi) SC2019-38
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the use of voice User Interface (VUI) to make the service interactive using speech is widespread. When this process is performed in the cloud, reducing the resource consumption while suppressing the delay time to respond is a challenge. In this paper, we propose a method to prepare a number of speech recognition processes that correspond to the required amount of requests at that time by launching a speech recognition process that triggers the user's approach by utilizing the information of the device's sensor. By doing so, as compared with the case of operating the speech recognition system without causing delay as before, it became possible to operate the speech recognition system with a small amount of resources.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech Recognition / Cloud / Container / Kubernetes / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 482, SC2019-38, pp. 23-28, March 2020.
Paper # SC2019-38 
Date of Issue 2020-03-09 (SC) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SC2019-38

Conference Information
Committee SC  
Conference Date 2020-03-16 - 2020-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Systems Engineering and Service Computing, etc. 
Paper Information
Registration To SC 
Conference Code 2020-03-SC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Cloud Speech Recognition Process Management Method Based on Device Sensor Information 
Sub Title (in English)  
Keyword(1) Speech Recognition  
Keyword(2) Cloud  
Keyword(3) Container  
Keyword(4) Kubernetes  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yu Fujita  
1st Author's Affiliation Hitachi, Ltd. (Hitachi)
2nd Author's Name Isao Tazawa  
2nd Author's Affiliation Hitachi, Ltd. (Hitachi)
3rd Author's Name Masaharu Ukeda  
3rd Author's Affiliation Hitachi, Ltd. (Hitachi)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2020-03-16 10:30:00 
Presentation Time 20 minutes 
Registration for SC 
Paper # SC2019-38 
Volume (vol) vol.119 
Number (no) no.482 
Page pp.23-28 
#Pages
Date of Issue 2020-03-09 (SC) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan