To bee or not to bee: Investigating machine learning approaches for beehive sound recognition
Sound
2021-12-03 v2 Audio and Speech Processing
Abstract
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.
Keywords
Cite
@article{arxiv.1811.06016,
title = {To bee or not to bee: Investigating machine learning approaches for beehive sound recognition},
author = {Inês Nolasco and Emmanouil Benetos},
journal= {arXiv preprint arXiv:1811.06016},
year = {2021}
}
Comments
Presented at Detection and Classification of Acoustic Scenes and Events (DCASE) workshop 2018