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

Autor:	Nolasco, Inês, Benetos, Emmanouil
Rok vydání:	2018
Předmět:	Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Zdroj:	Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018)
Druh dokumentu:	Working Paper
Popis:	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. Comment: Presented at Detection and Classification of Acoustic Scenes and Events (DCASE) workshop 2018
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1811.06016 Zobrazit plný text záznamu View this record from Arxiv