VibroScape code

Matija Marolt¹, Matevž Pesek¹, Rok Šturm², Juan José López Díez², Behare Rexhepi², Meta Virant-Doberlet²

¹ University of Ljubljana, Faculty of Computer and Information Science, Laboratory for Coumputer Graphics and Multimedia, Slovenia

² National Institute of Biology, Department of Organisms and Ecosystems Research, Slovenia

Contents

The repository contains the code for training the models for recognizing the vibrational signals of several species as described in our paper Computational methods for detecting insect vibrational signals in field vibroscape recordings (see ref. below).

The models were trained on the VibroScape dataset.

Cite us

The paper describing the dataset and our first automatic classification methods is published in Ecological Informatics. Please cite (Marolt et al. 2025) if you use this code or dataset.

BibTex:

@article{MAROLT2025103003,
title = {Computational methods for detecting insect vibrational signals in field vibroscape recordings},
journal = {Ecological Informatics},
volume = {86},
pages = {103003},
year = {2025},
issn = {1574-9541},
doi = {https://doi.org/10.1016/j.ecoinf.2025.103003},
url = {https://www.sciencedirect.com/science/article/pii/S1574954125000123},
author = {Matija Marolt and Matevž Pesek and Rok Šturm and Juan José {López Díez} and Behare Rexhepi and Meta Virant-Doberlet},
keywords = {Vibroscape, Ecotremology, Deep learning, Automatic classification, Biotremology, Insects}
}

Licensing

The code is published under the GPL-3.0 license. Feel free to use it for your research with necessary attributions.

Contact

For any questions, contact matija.marolt [at] fri.uni-lj.si