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Paper Abstract and Keywords
Presentation 2015-10-15 13:25
Statistical singing voice conversion based on direct waveform modification and its parameter generation algorithms
Kazuhiro Kobayashi, Tomoki Toda, Satoshi Nakamura (NAIST) SP2015-60
Abstract (in Japanese) (See Japanese page) 
(in English) This report presents a novel statistical singing voice conversion (SVC) technique with direct waveform modification based on the spectrum differential that can convert voice timbre of a source singer into that of a target singer without vocoder-based waveform generation if F0 conversion is not needed between those speakers. SVC makes it possible to convert voice timbre by statistically modeling the relationship between acoustic features of the source and the target singers. However, speech quality of the converted singing voice is significantly degraded compared to that of a natural singing voice due to some factors, such as errors in excitation modeling based on vocoder and over-smoothing effect of a converted spectral parameter trajectory. To address this issue, we propose a statistical conversion process that estimates the spectral differential between the source and target singers' singing voices and directly modifies the source singer's singing voice waveform by filtering it using the estimated spectral differential without using the vocoder-based waveform generation. Furthermore, we also propose a spectral differential parameter estimation method considering global variance to alleviate the over-smoothing effect. We conduct subjective and objective evaluations, demonstrating that the proposed method makes it possible to significantly improve speech quality while preserving the conversion accuracy of singer identity compared to the conventional SVC.
Keyword (in Japanese) (See Japanese page) 
(in English) singing voice conversion / vocoder / direct waveform modification with spectral differential / global variance / Gaussian mixture model / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 253, SP2015-60, pp. 7-12, Oct. 2015.
Paper # SP2015-60 
Date of Issue 2015-10-08 (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)
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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) Statistical singing voice conversion based on direct waveform modification and its parameter generation algorithms 
Sub Title (in English)  
Keyword(1) singing voice conversion  
Keyword(2) vocoder  
Keyword(3) direct waveform modification with spectral differential  
Keyword(4) global variance  
Keyword(5) Gaussian mixture model  
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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 Nara Institute of Science and Technology (NAIST)
3rd Author's Name Satoshi Nakamura  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Date Time 2015-10-15 13:25:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2015-60 
Volume (vol) vol.115 
Number (no) no.253 
Page pp.7-12 
#Pages
Date of Issue 2015-10-08 (SP) 


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