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Paper Abstract and Keywords
Presentation 2023-12-23 13:25
Excitation analysis based on the frequency-domain Prony method -- Extracting and representing driving terms in time-frequency domain --
Shigeru Ando (Univ. Tokyo) EA2023-60
Abstract (in Japanese) (See Japanese page) 
(in English) Frequency-domain Prony method (FDPM) proposed recently (S. Ando, IEEE Trans. SP, 2020) identifies the autoregressive (AR) model exactly and algebraically from short-time Fourier coefficients of given data, hence, can be applied to time-varying signals with many resonances and harmonics. We apply the FDPM to neighboring durations of excitation and transient to recover the Fourier coefficients of driving term using the AR model estimated in the transient, which is informative to understand the signal generation sources and processes. Then, we present several methods to describe time-frequency features and driving conditions of the excitation process. The basic performances are confirmed numerically, and the proposed method is applied to a pitch interval of a voiced speech and a piano tone. We consider a possible future use of it as a novel analyzing scheme and sound features.
Keyword (in Japanese) (See Japanese page) 
(in English) AR model / excitation / time-frequency / frequency-domain Prony / log-differential / instantaneous / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 322, EA2023-60, pp. 65-72, Dec. 2023.
Paper # EA2023-60 
Date of Issue 2023-12-15 (EA) 
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 EA2023-60

Conference Information
Committee EA US  
Conference Date 2023-12-22 - 2023-12-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) [Joint Meeting on Acoustics and Ultrasonics Subsociety] Engineering/Electro Acoustics, Ultrasonics, etc. 
Paper Information
Registration To EA 
Conference Code 2023-12-EA-US 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Excitation analysis based on the frequency-domain Prony method 
Sub Title (in English) Extracting and representing driving terms in time-frequency domain 
Keyword(1) AR model  
Keyword(2) excitation  
Keyword(3) time-frequency  
Keyword(4) frequency-domain Prony  
Keyword(5) log-differential  
Keyword(6) instantaneous  
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1st Author's Name Shigeru Ando  
1st Author's Affiliation University of Tokyo (Univ. Tokyo)
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Speaker Author-1 
Date Time 2023-12-23 13:25:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # EA2023-60 
Volume (vol) vol.123 
Number (no) no.322 
Page pp.65-72 
#Pages 8 
Date of Issue 2023-12-15 (EA) 

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