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Paper Abstract and Keywords
Presentation 2026-06-05 14:00
[Poster Presentation] Fundamental Frequency Estimation of Sound Signal with Missing F0 in Noisy Environments
Yoshimasa Tsuru, Kenichiro Miwa (Salesian Polytechnic) SP2026-15
Abstract (in Japanese) (See Japanese page) 
(in English) It is important to preserve content of historical value for future generations in the form of text. Although our laboratory is exploring ways to streamline transcription using speech recognition API, any conventional noise reduction methods have not been effective in improving speech recognition accuracy. Therefore, it is necessary to develop a new noise reduction method that focuses on the fundamental frequencies of historical sound sources. Furthermore, historical sound sources from the Taisho era and earlier has the problem of missing fundamental frequencies due to the frequency bandwidth limitations on the recording systems of that time. Therefore, in this study, we compare various fundamental frequency estimation methods to identify an F0 estimation method suitable for audio signals with missing F0. As a preliminary step before testing on speech signal, we verified whether it is possible to accurately estimate the F0 of three types of instrumental sounds from which the fundamental frequency had been removed in advance. The results confirmed that the proposed method, FreeDAM Lite, is currently the most promising approach.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech Analysis / Fundamental Frequency / F0 estimation / Noisy environment / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 58, SP2026-15, pp. 84-86, June 2026.
Paper # SP2026-15 
Date of Issue 2026-05-29 (SP) 
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 SP2026-15

Conference Information
Committee SP IPSJ-SLP IPSJ-MUS  
Conference Date 2026-06-05 - 2026-06-06 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Electro-Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2026-06-SP-SLP-MUS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fundamental Frequency Estimation of Sound Signal with Missing F0 in Noisy Environments 
Sub Title (in English)  
Keyword(1) Speech Analysis  
Keyword(2) Fundamental Frequency  
Keyword(3) F0 estimation  
Keyword(4) Noisy environment  
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1st Author's Name Yoshimasa Tsuru  
1st Author's Affiliation Salesian Polytechnic (Salesian Polytechnic)
2nd Author's Name Kenichiro Miwa  
2nd Author's Affiliation Salesian Polytechnic (Salesian Polytechnic)
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Speaker Author-1 
Date Time 2026-06-05 14:00:00 
Presentation Time 180 minutes 
Registration for SP 
Paper # SP2026-15 
Volume (vol) vol.126 
Number (no) no.58 
Page pp.84-86 
#Pages 3 
Date of Issue 2026-05-29 (SP) 

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