To bee or not to bee: Investigating machine learning approaches for beehive sound recognition

Publication Type:Journal Article
Year of Publication:2018
Autoren:Nolasco, Benetos
Schlüsselwörter:beehive sound recognition, Computational bioacoustic scene analysis, ecoacoustics

In this work, we aim to explore the potential of machine learning methods to the problem of beehive sound recognition. A major contribution of this work is the creation and release of annotations for a selection of beehive recordings. By experimenting with both support vector machines and convolutional neural networks, we explore important aspects to be considered in the development of beehive sound recognition systems using machine learning approaches.

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Scratchpads developed and conceived by (alphabetical): Ed Baker, Katherine Bouton Alice Heaton Dimitris Koureas, Laurence Livermore, Dave Roberts, Simon Rycroft, Ben Scott, Vince Smith