Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
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 2015-10-16 11:15
Multi-modal speech recognition using deep bottleneck features
Satoshi Tamura (Gifu Univ), Hiroshi Ninomiya (Nagoya Univ), Norihide Kitaoka (Tokushima Univ), Shin Osuga (Aisin Seiki), Yurie Iribe (Aichi Prefectural Univ), Kazuya Takeda (Nagoya Univ), Satoru Hayamizu (Gifu Univ) SP2015-69
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a novel multi-modal speech recognition method which uses speech and lip images, employing Deep BottleNeck Features (DBNFs).
At first, we incorporated several kinds of basic visual features, then significant improvement of visual-only speech recognition (lipreading) was observed.
Next, we applied the DBNF technique to MFCCs in the audio modality and the above features in the visual modality, to obtain audio and visual DBNFs respectively.
By using these DBNFs and multi-stream HMMs, we achieved more than 75% recognition accuracy even in heavily noisy conditions.
In addition, we found recognition performance can be sufficiently improved by performing voice activity detection in the visual modality.
Keyword (in Japanese) (See Japanese page) 
(in English) multi-modal speech recognition / lipreading / bottleneck feature / deep learning / voice activity detection / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 253, SP2015-69, pp. 57-62, Oct. 2015.
Paper # SP2015-69 
Date of Issue 2015-10-08 (SP) 
ISSN Print edition: ISSN 0913-5685    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 SP2015-69

Conference Information
Committee SP  
Conference Date 2015-10-15 - 2015-10-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Kobe Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech interface, Synthesis, Dialogue, Application system, etc. 
Paper Information
Registration To SP 
Conference Code 2015-10-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multi-modal speech recognition using deep bottleneck features 
Sub Title (in English)  
Keyword(1) multi-modal speech recognition  
Keyword(2) lipreading  
Keyword(3) bottleneck feature  
Keyword(4) deep learning  
Keyword(5) voice activity detection  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Satoshi Tamura  
1st Author's Affiliation Gifu University (Gifu Univ)
2nd Author's Name Hiroshi Ninomiya  
2nd Author's Affiliation Nagoya University (Nagoya Univ)
3rd Author's Name Norihide Kitaoka  
3rd Author's Affiliation Tokushima University (Tokushima Univ)
4th Author's Name Shin Osuga  
4th Author's Affiliation Aisin Seiki Co., Ltd. (Aisin Seiki)
5th Author's Name Yurie Iribe  
5th Author's Affiliation Aichi Prefectural University (Aichi Prefectural Univ)
6th Author's Name Kazuya Takeda  
6th Author's Affiliation Nagoya University (Nagoya Univ)
7th Author's Name Satoru Hayamizu  
7th Author's Affiliation Gifu University (Gifu Univ)
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 ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2015-10-16 11:15:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2015-69 
Volume (vol) vol.115 
Number (no) no.253 
Page pp.57-62 
#Pages 6 
Date of Issue 2015-10-08 (SP) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan