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 2013-12-20 10:45
[Invited Talk] Acoustic Modeling Using Restricted Boltzmann Machines and Deep Belief Networks for Statistical Parametric Speech Synthesis and Voice Conversion
Zhen-Hua Ling, Ling-Hui Chen, Li-Rong Dai (USTC) SP2013-90
Abstract (in Japanese) (See Japanese page) 
(in English) This paper summarizes our previous work on spectral modeling using restricted Boltzmann machines (RBM) and deep belief networks (DBN) for statistical parametric speech synthesis and voice conversion. This approach improves the conventional methods in two ways. First, the raw spectral envelopes extracted by the STRAIGHT vocoder are used as the features for spectral modeling. Second, instead of using single Gaussian distribution, we adopt RBMs or DBNs to represent the distribution of the envelopes at each HMM state or GMM mixture. Our experimental results show the effectiveness of this proposed method in improving the naturalness and similarity of the generated speech.
Keyword (in Japanese) (See Japanese page) 
(in English) speech synthesis / voice conversion / restricted Boltzmann machine / deep Belief network / hidden Markov model / Gaussian mixture model / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 366, SP2013-90, pp. 103-108, Dec. 2013.
Paper # SP2013-90 
Date of Issue 2013-12-12 (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 SP2013-90

Conference Information
Committee SP IPSJ-SLP  
Conference Date 2013-12-19 - 2013-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) 15th Symposium on Spoken Language 
Paper Information
Registration To SP 
Conference Code 2013-12-SP-SLP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acoustic Modeling Using Restricted Boltzmann Machines and Deep Belief Networks for Statistical Parametric Speech Synthesis and Voice Conversion 
Sub Title (in English)  
Keyword(1) speech synthesis  
Keyword(2) voice conversion  
Keyword(3) restricted Boltzmann machine  
Keyword(4) deep Belief network  
Keyword(5) hidden Markov model  
Keyword(6) Gaussian mixture model  
Keyword(7)  
Keyword(8)  
1st Author's Name Zhen-Hua Ling  
1st Author's Affiliation University of Science and Technology of China (USTC)
2nd Author's Name Ling-Hui Chen  
2nd Author's Affiliation University of Science and Technology of China (USTC)
3rd Author's Name Li-Rong Dai  
3rd Author's Affiliation University of Science and Technology of China (USTC)
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 ()
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 2013-12-20 10:45:00 
Presentation Time 60 minutes 
Registration for SP 
Paper # SP2013-90 
Volume (vol) vol.113 
Number (no) no.366 
Page pp.103-108 
#Pages 6 
Date of Issue 2013-12-12 (SP) 

[Return to Top Page]

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