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scikit-maad/scikit-maad: New stable release : v1.5.0

Authors: Sylvain HAUPERT; Juan Sebastian Ulloa; scikit-maad; Juan Felipe Latorre Gil; Sebastian Aguilera Novoa; Gabriel Alejandro Perilla Suarez; Pierre Aumond;

scikit-maad/scikit-maad: New stable release : v1.5.0

Abstract

Release Notes We are pleased to announce the latest release with several important enhancement, fixes and documentation improvements to ensure compatibility with the latest versions of SciPy and scikit-image as well as with Xeno-Canto. In this new version, 2 new alpha indices are implemented, aROI and nROI, the latter being a good proxy of the average species richness per 1 min soundscape. New features [ENH] add new alpha indices nROI and aROI + new tests [ENH] Remove resampy dependency. Resample is now done with scipy.signal module Bug Fixes [FIX]: remove verbose in region_of_interest_index function [FIX]: fix bug when calculating aROI. Results change between scikit-image 0.22 and 0.23 due to change in closing function- [INSTALL]: [FIX]: Fixed compatibility with scipy version 1.15 [FIX]: the audio file format from xc [FIX]: correct the format_features function [FIX]: Adjusted the plot for graphical soundscapes install [INSTALL]: update pyproject.toml. Remove Python 3.8 / add 3.11 and 3.12 [INSTALL]: change the version of scikit-image to be >=0.23.1 [INSTALL]: update version and requirements [INSTALL]: Update README.md Documentation [DOC] Updating support for python 3.11 [DOC] Web documentation fix New Contributors @jscanass made their first contribution in https://github.com/scikit-maad/scikit-maad/pull/100

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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