Presentation 2013-09-13
Automatic birdsong recognition for sensing unknown migratory birds
Hiroyuki NISHI, Atsuko KIYOTA, Yoshimasa KIMURA,
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Abstract(in English) In Aso area, more than 160 species of birds inhabit. However, due to changes of the global environment, the path of migratory birds, route, and distance changes, viral pathogens, such as foot-and-mouth disease or bird flu that seems to be caused by them attack the civilization. The object of this research is to understand the distribution and habitat of migratory birds by applying an automatical recognition technology of the bird singing. In this report, we show the results of an identification rate of the preliminary experiments as a reference applying the conventional speech recognition method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Bird song / Wild bird / Recognition / Foot-and-mouth disease / Bird flu
Paper # LOIS2013-20,IE2013-41,EMM2013-63
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Committee LOIS
Conference Date 2013/9/5(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic birdsong recognition for sensing unknown migratory birds
Sub Title (in English)
Keyword(1) Bird song
Keyword(2) Wild bird
Keyword(3) Recognition
Keyword(4) Foot-and-mouth disease
Keyword(5) Bird flu
1st Author's Name Hiroyuki NISHI
1st Author's Affiliation Faculty of Information Science, Sojo University()
2nd Author's Name Atsuko KIYOTA
2nd Author's Affiliation Faculty of Information Science, Sojo University
3rd Author's Name Yoshimasa KIMURA
3rd Author's Affiliation Faculty of Information Science, Sojo University
Date 2013-09-13
Paper # LOIS2013-20,IE2013-41,EMM2013-63
Volume (vol) vol.113
Number (no) 210
Page pp.pp.-
#Pages 4
Date of Issue