ITE Technical Group Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2017-03-14 13:00
Analysis of Coin Falling Sound Using Machine Leaning
Wataru Yokota, Yasunari Obuchi (Tokyo Univ Tech)
Abstract (in Japanese) (See Japanese page) 
(in English) As a method of discriminating invisible part information, there is a hammering test for discriminating an object using a sound signal. In this paper, we deal with coin falling sounds as an example of such sound classification. In conventional coin discrimination studies, humans have been analyzing a single speech feature. However, it is difficult to accurately analyze many speech features by this method. It is necessary to accurately analyze large quantities of features. Combining machine learning with sound signals analysis seems to make it possible to analyze many feature quantities more accurately. For this reason, we analyzed sounds of popular five-yen and ten-yen coins falling into various materials using machine learning.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Leaning / Coin / Sound Signal / Feature extraction / / / /  
Reference Info. ITE Tech. Rep., vol. 41, no. 12, AIT2017-119, pp. 261-264, March 2017.
Paper #  
Date of Issue 2017-03-07 (AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970

Conference Information
Committee AIT IIEEJ AS CG-ARTS  
Conference Date 2017-03-14 - 2017-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Ochanomizu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AS 
Conference Code 2017-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Coin Falling Sound Using Machine Leaning 
Sub Title (in English)  
Keyword(1) Machine Leaning  
Keyword(2) Coin  
Keyword(3) Sound Signal  
Keyword(4) Feature extraction  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Wataru Yokota  
1st Author's Affiliation Tokyo University of Technology (Tokyo Univ Tech)
2nd Author's Name Yasunari Obuchi  
2nd Author's Affiliation Tokyo University of Technology (Tokyo Univ Tech)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker
Date Time 2017-03-14 13:00:00 
Presentation Time 90 
Registration for AS 
Paper # ITE-AIT2017-119 
Volume (vol) ITE-41 
Number (no) no.12 
Page pp.261-264 
#Pages ITE-4 
Date of Issue ITE-AIT-2017-03-07 


[Return to Top Page]

[Return to ITE Web Page]


The Institute of Image Information and Television Engineers (ITE), Japan