Presentation 2017-06-01
A study on distinctive acoustic features among different languages by prosody analysis
Yuma Omori, Akinori Seo, Hideaki Orii, Hideaki Kawano,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The speech language has both phonological information representing the content of utterance and prosodic information representing elements such as pitch, intensity and length of sound. We often have experiences that we can infer which language is spoken from incomprehensible speech. This is because the prosodic information contains information of "Language distinctive features". It is, however, not perfectly known which element of the prosodic information contributes to "Language distinctive features". In this study, we used prosodic information of three languages as a feature quantity, and we tried to perform linguistic identification using Spiking Neural Network (SNN).
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Prosody / Auditory Phonetics / Fundamental Frequency / MFCC / SNN
Paper # SIS2017-5
Date of Issue 2017-05-25 (SIS)

Conference Information
Committee SIS
Conference Date 2017/6/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Housen-Sou (Beppu)
Topics (in Japanese) (See Japanese page)
Topics (in English) Smart Personal Systems, etc.
Chair Hirokazu Tanaka(Hiroshima City Univ.)
Vice Chair Takayuki Nakachi(NTT) / Noriaki Suetake(Yamaguchi Univ.)
Secretary Takayuki Nakachi(Kanagawa Inst. of Tech.) / Noriaki Suetake(Kyushu Inst. of Tech.)
Assistant Masaaki Fujiyoshi(Tokyo Metropolitan Univ.) / Takanori Koga(TCT)

Paper Information
Registration To Technical Committee on Smart Info-Media Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on distinctive acoustic features among different languages by prosody analysis
Sub Title (in English)
Keyword(1) Prosody
Keyword(2) Auditory Phonetics
Keyword(3) Fundamental Frequency
Keyword(4) MFCC
Keyword(5) SNN
1st Author's Name Yuma Omori
1st Author's Affiliation Kyusyu Institute of Technology(Kyutech)
2nd Author's Name Akinori Seo
2nd Author's Affiliation Kyusyu Institute of Technology(Kyutech)
3rd Author's Name Hideaki Orii
3rd Author's Affiliation Fukuoka University(Fukuoka Univ)
4th Author's Name Hideaki Kawano
4th Author's Affiliation Kyusyu Institute of Technology(Kyutech)
Date 2017-06-01
Paper # SIS2017-5
Volume (vol) vol.117
Number (no) SIS-70
Page pp.pp.23-27(SIS),
#Pages 5
Date of Issue 2017-05-25 (SIS)