New release of scikit-maad, the Python package for soundscape analysis

[Sylvain HAUPERT <>]

Dear colleagues,

We are pleased to announce a new release of scikit-maad, the Python package for soundscape analysis. This new version (v1.3) comes with extra functionalities:

• active distance: a set of functionalities to compute the attenuation of acoustic signals taking into account the geometric, atmospheric and habitat attenuation contributions. It opens the possibility to estimate the active distance of animals or the detection distance of automatic recording units (ARUs) as well as to simulate realistic degradation of acoustic signals during its propagation.
  
• xeno-canto scraper: functions that allows to download audio and metadata from xeno-canto with simple queries.
• functions to slice and normalize audio
  
  And more!

Check all the new features of this release on Github (https://github.com/scikit-maad/scikit-maad/releases/tag/1.3) as well as new examples (https://scikit-maad.github.io/_auto_examples/index.html)

And for those who are not already familiar with scikit-maad, you can read our article : scikit?maad: an open?source and modular toolbox for quantitative soundscape analysis in Python

Enjoy!

Sylvain Haupert And Juan Ulloa

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Sylvain HAUPERT | Research Engineer CNRS

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