Presentation 2022-03-04
A study on discrimination of laryngeal diseases by machine learning using vowel voice features
Yuki Yamaoka, Sasaoka Naoto, Hukuhara Takahiro, Morisaki Tsuyoshi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # SIS2021-42
Date of Issue 2022-02-24 (SIS)

Conference Information
Committee SIS
Conference Date 2022/3/3(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Soft Computing, etc.
Chair Noriaki Suetake(Yamaguchi Univ.)
Vice Chair Tomoaki Kimura(Kanagawa Inst. of Tech.) / Naoto Sasaoka(Tottori Univ.)
Secretary Tomoaki Kimura(NTT) / Naoto Sasaoka(National Inst. of Tech., Ube College)
Assistant Soh Yoshida(Kansai Univ.) / Yoshiaki Makabe(Kanagawa Inst. of Tech.)

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 discrimination of laryngeal diseases by machine learning using vowel voice features
Sub Title (in English)
Keyword(1)
1st Author's Name Yuki Yamaoka
1st Author's Affiliation Tottori University(Tottori Univ.)
2nd Author's Name Sasaoka Naoto
2nd Author's Affiliation Tottori University(Tottori Univ.)
3rd Author's Name Hukuhara Takahiro
3rd Author's Affiliation Tottori University(Tottori Univ.)
4th Author's Name Morisaki Tsuyoshi
4th Author's Affiliation Tottori University(Tottori Univ.)
Date 2022-03-04
Paper # SIS2021-42
Volume (vol) vol.121
Number (no) SIS-398
Page pp.pp.63-67(SIS),
#Pages 5
Date of Issue 2022-02-24 (SIS)