Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring

Automatic classification of animal vocalizations has great potential to enhance the monitoring of species movements and behaviors. This is particularly true for monitoring nocturnal bird migration, where automated classification of migrants' flight calls could yield new biological insights and...

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Veröffentlicht in:	PloS one 2016-11, Vol.11 (11), p.e0166866-e0166866
Hauptverfasser:	Salamon, Justin, Bello, Juan Pablo, Farnsworth, Andrew, Robbins, Matt, Keen, Sara, Klinck, Holger, Kelling, Steve
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic noise Acoustics Analysis Animal Migration Animals Area Under Curve Automation Background noise Bioacoustics Biodiversity Biology and Life Sciences Bird flight Bird migration Birds Birds - classification Birds - physiology Classification Conservation Crowdsourcing Datasets Engineering and Technology Error analysis Flight Flight, Animal - physiology Formulations Information processing International conferences Laboratories Medicine and Health Sciences Migrants Migratory birds Model accuracy Monitoring Music Nocturnal Ornithology Physical Sciences Remote sensors ROC Curve Seasons Signal processing Species Species classification Speech Surveillance Tape Recording Vocalization behavior Vocalization, Animal Voice recognition Wildlife conservation
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