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 2020-03-03 09:00
[Poster Presentation] Automatic estimation of prosodic control made in English utterances using DNN-based acoustic models trained with prosodic features and labels
Yang Shen, Shintarou Ando, Nobuaki Minematsu, Daisuke Saito (UTokyo), Satoshi Kobashikawa (NTT) EA2019-136 SIP2019-138 SP2019-85
Abstract (in Japanese) (See Japanese page) 
(in English) This paper investigate how to utilize DNN acoustic models trained with prosodic features and labels to detect prosodic error in Japanese English. There are four models trained with/without prosodic features or labels. Posteriorgram-based DTW difference between incomprehensible L2 speech and native speech is computed for each model. By comparing differences from baseline model trained without prosody and models trained with prosody, it is possible to detect prosodic error in L2 speech. The result showed that adding stressed vowels to output phoneme labels can help detect prosodic error.
Keyword (in Japanese) (See Japanese page) 
(in English) Japanese English / prosody error / prosody feature / prosody label / DNN model / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 441, SP2019-85, pp. 201-206, March 2020.
Paper # SP2019-85 
Date of Issue 2020-02-24 (EA, SIP, 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 EA2019-136 SIP2019-138 SP2019-85

Conference Information
Committee SP EA SIP  
Conference Date 2020-03-02 - 2020-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2020-03-SP-EA-SIP 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic estimation of prosodic control made in English utterances using DNN-based acoustic models trained with prosodic features and labels 
Sub Title (in English)  
Keyword(1) Japanese English  
Keyword(2) prosody error  
Keyword(3) prosody feature  
Keyword(4) prosody label  
Keyword(5) DNN model  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yang Shen  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Shintarou Ando  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Nobuaki Minematsu  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Daisuke Saito  
4th Author's Affiliation The University of Tokyo (UTokyo)
5th Author's Name Satoshi Kobashikawa  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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 2020-03-03 09:00:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # EA2019-136, SIP2019-138, SP2019-85 
Volume (vol) vol.119 
Number (no) no.439(EA), no.440(SIP), no.441(SP) 
Page pp.201-206 
#Pages
Date of Issue 2020-02-24 (EA, SIP, SP) 


[Return to Top Page]

[Return to IEICE Web Page]


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