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Paper Abstract and Keywords
Presentation 2020-01-22 14:00
[Poster Presentation] Speech features obtained from similarities between the input and output of a DNN-based VAD.
Nozomi Shigaraki, Kei Yamamori (Kanazawa Univ.), Suci Dwijayanti (Sriwijaya Univ.), Masato Miyoshi (Kanazawa Univ.) EA2019-95
Abstract (in Japanese) (See Japanese page) 
(in English) We have been studying Voice activity detection (VAD) using a deep neural network (DNN). Log power spectra (LPS) and Speech period candidates (SPCs) are input into the DNN, where SPCs are numerically calculated from the 1st and 2nd derivative sequences of the LPS. We are now aiming to obtain speech features from similarities between SPCs and VAD decision. In this report, we will discuss Fundamental frequencies (F0) which are estimated from long term (each speech frames) and short term (japanese mora frames) similarities.
Keyword (in Japanese) (See Japanese page) 
(in English) Voice activity detection (VAD) / Speech period candidates / Log power spectra / Speech features / Fundamental frequency / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 375, EA2019-95, pp. 67-72, Jan. 2020.
Paper # EA2019-95 
Date of Issue 2020-01-15 (EA) 
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 EA2019-95

Conference Information
Committee EA US  
Conference Date 2020-01-22 - 2020-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Doshisha Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) [Joint Meeting on Acoustics and Ultrasonics Subsociety] Engineering/Electro Acoustics, Ultrasonics, and Related Topics 
Paper Information
Registration To EA 
Conference Code 2020-01-EA-US 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Speech features obtained from similarities between the input and output of a DNN-based VAD. 
Sub Title (in English)  
Keyword(1) Voice activity detection (VAD)  
Keyword(2) Speech period candidates  
Keyword(3) Log power spectra  
Keyword(4) Speech features  
Keyword(5) Fundamental frequency  
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1st Author's Name Nozomi Shigaraki  
1st Author's Affiliation Kanazawa University (Kanazawa Univ.)
2nd Author's Name Kei Yamamori  
2nd Author's Affiliation Kanazawa University (Kanazawa Univ.)
3rd Author's Name Suci Dwijayanti  
3rd Author's Affiliation Sriwijaya University (Sriwijaya Univ.)
4th Author's Name Masato Miyoshi  
4th Author's Affiliation Kanazawa University (Kanazawa Univ.)
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Speaker Author-1 
Date Time 2020-01-22 14:00:00 
Presentation Time 120 minutes 
Registration for EA 
Paper # EA2019-95 
Volume (vol) vol.119 
Number (no) no.375 
Page pp.67-72 
#Pages
Date of Issue 2020-01-15 (EA) 


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