Automatic anuran identification using noise removal and audio activity detection

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• 作者：Jesú ; s B. Alonso^a ; ^{jesus.alonso@ulpgc.es} ; ^{jalonso@dsc.ulpgc.es} ; Josué ; Cabrera^a ; ^{jcabrera@idetic.eu} ; Rohit Shyamnani^a ; ^{rohit.vashdev@gmail.com} ; Carlos M. Travieso^a ; ^{carlos.travieso@ulpgc.es} ; Federico Bolañ ; os^b ; ^{federico.bolanos@ucr.ac.cr} ; Adriá ; n Garcí ; a^b ; ¹ ; ^{garciar.adrian@gmail.com} ; Alexander Villegas^b ; ^{alexmont@costarricense.cr} ; Mark Wainwright^c ; ^{markwainwright@racsa.co.cr}
• 关键词：Bioacoustical identification ; Biodiversity monitoring ; Species richness ; Ecological indices ; Environmental audio ; Frog identification
• 刊名：Expert Systems with Applications
• 出版年：2017
• 出版时间：15 April 2017
• 年：2017
• 卷：72
• 期：Complete
• 页码：83-92
• 全文大小：1846 K
• 卷排序：72

文摘

Automatic anuran identification based on audio. Noise removal and audio activity detection. Real database recording in natural environment. Between 96.1% and 100% of accuracy for 17 species.