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 2019-03-12 14:00
Analysis of Radio Speech Using Deep Neural Network
Wataru Yokota, Keiko Ochi, Yasunari Obuchi (Tokyo Univ. Tech)
Abstract (in Japanese) (See Japanese page) 
(in English) Radio broadcasting, which uses audio information only, is still popular in the modern society in which television and movie websites are widely enjoyed. In radio programs, we generally broadcast speech sounds spoken by so called personalities. In this research, we estimated the nonlinguistic information from using machine learning, aiming at creating a audio-based broadcast program retrieving system. More concretely, it was estimated by machine learning whether the speech is a monologue that a speaker is talking alone or dialogue talked by two or more people, using a the acoustic features obtained from the speech waveforms and deep neural network.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Voice / Radio / Feature selection / / / /  
Reference Info. ITE Tech. Rep., vol. 43, pp. 325-328, March 2019.
Paper #  
Date of Issue 2019-03-05 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
Download PDF

Conference Information
Committee AIT IIEEJ AS CG-ARTS  
Conference Date 2019-03-12 - 2019-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2019 
Paper Information
Registration To AS 
Conference Code 2019-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Radio Speech Using Deep Neural Network 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) Voice  
Keyword(3) Radio  
Keyword(4) Feature selection  
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 Keiko Ochi  
2nd Author's Affiliation Tokyo University of Technology (Tokyo Univ. Tech)
3rd Author's Name Yasunari Obuchi  
3rd Author's Affiliation Tokyo University of Technology (Tokyo Univ. Tech)
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 Author-1 
Date Time 2019-03-12 14:00:00 
Presentation Time 135 minutes 
Registration for AS 
Paper # AIT2019-142 
Volume (vol) vol.43 
Number (no) no.9 
Page pp.325-328 
#Pages
Date of Issue 2019-03-05 (AIT) 


[Return to Top Page]

[Return to ITE Web Page]


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