Soundscape classification with convolutional neural networks reveals temporal and geographic patterns in ecoacoustic data

Interest in ecoacoustics has resulted in an influx of acoustic data and novel methodologies to classify and relate landscape sound activity to biodiversity and ecosystem health. However, indicators used to summarize sound and quantify the effects of disturbances on biodiversity can be inconsistent w...

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Bibliografiske detaljer

Principais autores:	Colin A. Quinn, Patrick Burns, Gurman Gill, Shrishail Baligar, Rose L. Snyder, Leonardo Salas, Scott J. Goetz, Matthew L. Clark
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2022-05-01
Serier:	Ecological Indicators
Fag:	Machine learning Convolutional neural network (CNN) Ecoacoustics Anthropophony Biophony Naturally quiet landscapes
Online adgang:	http://www.sciencedirect.com/science/article/pii/S1470160X22003028
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