Using multi-label classification for acoustic pattern detection and assisting bird species surveys
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- 作者：Liang Zhang ; l68.zhang@hdr.qut.edu.au" class="auth_mail" title="E-mail the corresponding author ; Michael Towsey ; Jie Xie ; Jinglan Zhang ; Paul Roe
- 关键词：Soundscape ecology ; Computational ecology ; Acoustic indices ; Multi-label classification
- 刊名：Applied Acoustics
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：110
- 期：Complete
- 页码：91-98
- 全文大小：1846 K
文摘
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Three multi-label classifiers are compared in detecting five acoustic patterns.
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Acoustic indices are used to characterise one-minute audio clips.
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Multi-label classification provides better results than single-label methods.
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Classification methods improve the efficiency in bird species surveys.
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Our proposed method is resilient to extreme weather conditions, such as rain or wind.