ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 2P2-C11
会議情報

ヤンバルクイナの鳴き声解析の改善
*池村 洸夢神里 志穂子藏屋 英介亀濱 博紀
著者情報
キーワード: Yanbarukuina, Detect Bird Singing, IoT
会議録・要旨集 認証あり

詳細
抄録

The purpose of this study is detection the call of Gallirallus okinawae from recording data for a long time. Gallirallus okinawae are Classified as Critically Endangered which natural monument and Endemic species of Okinawa. Gallirallus okinawae has been living in the forest without flying power, therefore, ongoing investigation of a long period of time is extremely difficult. Therefore, we have investigating of habitat throughout the year from recordings of Gallirallus okinawae sing in the fixed point. In this paper, we proposed a method of detecting a Gallirallus okinawae sing by performing the processing band-pass filter, the Hilbert transform, the envelope detection, the average rate of change calculated, the zero-crossing count for the digital sound data. I including the Hilbert transform into the original algorithm, the rate of accurate detection increased from 46% to 76%.

著者関連情報
© 2019 一般社団法人 日本機械学会
前の記事 次の記事
feedback
Top