A dataset of environmental audio recordings containing chainsaw events

This audio dataset contains audio recordings (.wav format, 8kHz sampling rate) of various durations acquired using eight Cornel University SWIFT Autonomous Recording Units (ARUs) and corresponding metadata (.textgrid files). The recordings were collected within the Rodopi Mountain-Range National Park, Greece, at different seasons between 2018 and 2019. They are part of longer audio recordings. This audio content was used for the evaluation of a chainsaw sound detection system that was developed for the needs of a research project funded via a Single RTDI State Aid Action ”Research – Create – Innovate” grant (T1EDK-04488), which is co-financed by Greece and the European Union (European Regional Development Fund) as part of the Operational Program ”Competitiveness, Entrepreneurship and Innovation” of the National Strategic Reference Framework (NSRF) 2014-2020.

Portions of each uploaded recording contain chainsaw events. The temporal location of these events, originally located manually by human listeners, are marked within the corresponding .textgrid files. Each audio recording with the corresponding textgrid file can be opened using the Praat program (https://www.fon.hum.uva.nl/praat/).

If you find this dataset useful please cite the following paper:

N. Stefanakis, K. Psaroulakis, N. Simou and C. Astaras, "An open-access system for long-range chainsaw sound detection", in Proceedings of EUSIPCO (2022).

The chainsaw sound detection algorithm that was developed is also open access and is available in the form of python code from https://github.com/spl-icsforth/An-open-access-system-for-long-range-chainsaw-sound-detection