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 |
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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) |
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Machine Learning |
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Voice |
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Radio |
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Feature selection |
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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 |
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Tokyo University of Technology (Tokyo Univ. Tech) |
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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 |
4 |
Date of Issue |
2019-03-05 (AIT) |