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Paper Abstract and Keywords
Presentation 2017-03-01 12:40
[Poster Presentation] Estimation of playing position from music and speech sources based on music database
Satoshi Inui, Toru Takahashi (OSU) EA2016-105 SIP2016-160 SP2016-100
Abstract (in Japanese) (See Japanese page) 
(in English) We describe about music information retrieval (MIR) system in real environment. In the environment, music and non-music signals are simultaneously occurred by different points. We investigate that MIR system in the simplest real environment, where music and voice signals are simultaneously occurred by two different points. The system must identify music and estimate the position in the music from received signal that is mixture signal of music signal with voice signal. The proposed system uses sound source localization and separation techniques to capture the target music signal. Then, the most likely music and its position are estimated based on a similarity between the captured signal and entry in the predefined database. The similarity is defined by acoustic feature named binary chroma spectrum. We examine MIR performance of typical single channel based system and microphone-array based system. F-measure is calculated to evaluate performance of the systems. It is confirmed that microphone-array based system is outperform typical single channel based system. We conclude that binary chroma spectrum is suitable for sound source separation.
Keyword (in Japanese) (See Japanese page) 
(in English) Binary Chroma Spectrum / Music Playing Position / Sound Source Localization / Sound Source Separation / Music Information Retrieval / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 477, SP2016-100, pp. 129-134, March 2017.
Paper # SP2016-100 
Date of Issue 2017-02-22 (EA, SIP, SP) 
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 EA2016-105 SIP2016-160 SP2016-100

Conference Information
Committee SP SIP EA  
Conference Date 2017-03-01 - 2017-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics 
Paper Information
Registration To SP 
Conference Code 2017-03-SP-SIP-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of playing position from music and speech sources based on music database 
Sub Title (in English)  
Keyword(1) Binary Chroma Spectrum  
Keyword(2) Music Playing Position  
Keyword(3) Sound Source Localization  
Keyword(4) Sound Source Separation  
Keyword(5) Music Information Retrieval  
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1st Author's Name Satoshi Inui  
1st Author's Affiliation Osaka Sangyo University (OSU)
2nd Author's Name Toru Takahashi  
2nd Author's Affiliation Osaka Sangyo University (OSU)
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Speaker Author-1 
Date Time 2017-03-01 12:40:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # EA2016-105, SIP2016-160, SP2016-100 
Volume (vol) vol.116 
Number (no) no.475(EA), no.476(SIP), no.477(SP) 
Page pp.129-134 
#Pages
Date of Issue 2017-02-22 (EA, SIP, SP) 


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