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Paper Abstract and Keywords
Presentation 2016-01-30 14:10
Development of Real-time Analysis Tool based on Acoustic Features related to the Singing Skill
Yasuki Yamashita (PIT-Nagano), Mizue Kayama, Kyoko Ikeda, Miharu Noda, Kazunori Itoh (Shinshu Univ.), Kazushi Asanuma (NIT,Nagano College) ET2015-87
Abstract (in Japanese) (See Japanese page) 
(in English) We have developed real-time analysis tool for acoustic features of singing voice that is thought to be related to singing skill level. The sound input from microphone or mixer, and can analyze from start to end. The singing voice difference between professional and amateur is clearly distinguished by using SFR (Second Formant Ratio) and Q (sharpness of singer's formant) graph of these features we already reported. To do a more detailed analysis, sound file input version was also made. There is singing data of various bands on the Internet. To evaluate those data on the same SFR-Q scale, the analysis condition is proposed. This tool is not only for analysis, but can also for vocal training lesson and self-training assistance.
Keyword (in Japanese) (See Japanese page) 
(in English) Singing voice / Vocal training / Acoustic features / Singer’s formant / Skill level / Real-time analysis / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 444, ET2015-87, pp. 13-18, Jan. 2016.
Paper # ET2015-87 
Date of Issue 2016-01-23 (ET) 
ISSN Print edition: ISSN 0913-5685    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 ET2015-87

Conference Information
Committee ET  
Conference Date 2016-01-30 - 2016-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Kansai Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Embodied Knowledge, Skill Support, etc. 
Paper Information
Registration To ET 
Conference Code 2016-01-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of Real-time Analysis Tool based on Acoustic Features related to the Singing Skill 
Sub Title (in English)  
Keyword(1) Singing voice  
Keyword(2) Vocal training  
Keyword(3) Acoustic features  
Keyword(4) Singer’s formant  
Keyword(5) Skill level  
Keyword(6) Real-time analysis  
Keyword(7)  
Keyword(8)  
1st Author's Name Yasuki Yamashita  
1st Author's Affiliation Nagano Prefectural Institute of Technology (PIT-Nagano)
2nd Author's Name Mizue Kayama  
2nd Author's Affiliation Shunshu University (Shinshu Univ.)
3rd Author's Name Kyoko Ikeda  
3rd Author's Affiliation Shunshu University (Shinshu Univ.)
4th Author's Name Miharu Noda  
4th Author's Affiliation Shunshu University (Shinshu Univ.)
5th Author's Name Kazunori Itoh  
5th Author's Affiliation Shunshu University (Shinshu Univ.)
6th Author's Name Kazushi Asanuma  
6th Author's Affiliation National Institute of Technology, Nagano College (NIT,Nagano College)
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Speaker Author-1 
Date Time 2016-01-30 14:10:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2015-87 
Volume (vol) vol.115 
Number (no) no.444 
Page pp.13-18 
#Pages 6 
Date of Issue 2016-01-23 (ET) 

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