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Paper Abstract and Keywords
Presentation 2023-03-02 15:10
[Invited Talk] --
Yuma Koizumi (Google Research) PRMU2022-87 IBISML2022-94
Abstract (in Japanese) (See Japanese page) 
(in English) Machine learning tasks that deal with acoustic signals can be broadly classified into "recognizing sounds" and "generating sounds". In particular, the latter sound generation tasks, such as text-to-speech (TTS) and speech enhancement (SE), have made remarkable progress in recent years along with the development of deep generative models. This invited talk will introduce what kind of sound generation tasks exist, what kind of problem settings they are, and outline how diffusion models are used in these tasks.
Keyword (in Japanese) (See Japanese page) 
(in English) Sound generation / text-to-speech / neural vocoder / denoising diffusion probablistic models / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 405, IBISML2022-94, pp. 149-149, March 2023.
Paper # IBISML2022-94 
Date of Issue 2023-02-23 (PRMU, IBISML) 
ISSN 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 PRMU2022-87 IBISML2022-94

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Future University Hakodate 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2023-03-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) -- 
Sub Title (in English)  
Keyword(1) Sound generation  
Keyword(2) text-to-speech  
Keyword(3) neural vocoder  
Keyword(4) denoising diffusion probablistic models  
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1st Author's Name Yuma Koizumi  
1st Author's Affiliation Google Research (Google Research)
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Speaker Author-1 
Date Time 2023-03-02 15:10:00 
Presentation Time 40 minutes 
Registration for IBISML 
Paper # PRMU2022-87, IBISML2022-94 
Volume (vol) vol.122 
Number (no) no.404(PRMU), no.405(IBISML) 
Page p.149 
#Pages 1 
Date of Issue 2023-02-23 (PRMU, IBISML) 

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