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Paper Abstract and Keywords
Presentation 2016-03-28 13:15
[Poster Presentation] An evaluation of F0 transformation for statistical singing voice conversion based on spectral differential filtering
Kazuhiro Kobayashi (NAIST), Tomoki Toda (Nagoya Univ./NAIST), Satoshi Nakamura (NAIST) EA2015-84 SIP2015-133 SP2015-112
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we propose a technique for cross-gender statistical singing voice conversion (SVC) with direct waveform modification based on spectrum differential (DIFFSVC). SVC makes it possible to convert voice timbre of a source singer into that of a target singer based on a statistical conversion function of acoustic features between these two singers. A traditional SVC framework usually degrades speech quality of the converted singing voice compared to that of a natural singing voice due to waveform generation with vocoder, which causes various errors. To address this issue, the DIFFSVC technique has been proposed as a high quality SVC framework for within-gender conversion by directly using an excitation signal of the input natural singing voice. To make it possible to also apply this SVC framework to cross-gender conversion, in this report, we apply F0 transformation of the excitation signal based on direct waveform modification to DIFFSVC. The experimental results demonstrate that the proposed cross-gender DIFFSVC framework significantly improves speech quality while while preserving the conversion accuracy of singer identity compared to the conventional SVC.
Keyword (in Japanese) (See Japanese page) 
(in English) statistical singing voice conversion / cross-gender conversion / direct waveform modification / spectral differential / F0 transformation. / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 523, SP2015-112, pp. 105-110, March 2016.
Paper # SP2015-112 
Date of Issue 2016-03-21 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 EA2015-84 SIP2015-133 SP2015-112

Conference Information
Committee EA SP SIP  
Conference Date 2016-03-28 - 2016-03-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Beppu International Convention Center B-ConPlaza 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Engineering/Electro Acoustics, Speech, Signal Processing, and Related Topics 
Paper Information
Registration To SP 
Conference Code 2016-03-EA-SP-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An evaluation of F0 transformation for statistical singing voice conversion based on spectral differential filtering 
Sub Title (in English)  
Keyword(1) statistical singing voice conversion  
Keyword(2) cross-gender conversion  
Keyword(3) direct waveform modification  
Keyword(4) spectral differential  
Keyword(5) F0 transformation.  
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1st Author's Name Kazuhiro Kobayashi  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Tomoki Toda  
2nd Author's Affiliation Nagoya University/Nara Institute of Science and Technology (Nagoya Univ./NAIST)
3rd Author's Name Satoshi Nakamura  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2016-03-28 13:15:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # EA2015-84, SIP2015-133, SP2015-112 
Volume (vol) vol.115 
Number (no) no.521(EA), no.522(SIP), no.523(SP) 
Page pp.105-110 
#Pages
Date of Issue 2016-03-21 (EA, SIP, SP) 


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