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Soundscape analysis in Python

scikit-maad is an open source Python package dedicated to the quantitative analysis of environmental audio recordings. This package was designed to (1) load and process digital audio, (2) segment and find regions of interest, (3) compute acoustic features, and (4) estimate sound pressure level. This workflow opens the possibility to scan large audio datasets and use powerful machine learning techniques, allowing to measure acoustic properties and identify key patterns in all kinds of soundscapes.

Indices and tables

Citing scikit-maad

If you find this package useful in your research, we would appreciate citations to the following paper:

1

Ulloa, J. S., Haupert, S., Latorre, J. F., Aubin, T., & Sueur, J. (2021). scikit-maad: An open-source and modular toolbox for quantitative soundscape analysis in Python. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.13711

About the authors

This work started in 2016 at the Museum National d’Histoire Naturelle (MNHN) in Paris, France. It was initiated by Juan Sebastian Ulloa, supervised by Jérôme Sueur and Thierry Aubin at the Muséum National d’Histoire Naturelle and the Université Paris-Saclay respectively. Python functions have been added by Sylvain Haupert, Juan Felipe Latorre, and Juan Sebastian Ulloa.