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View Code? Open in Web Editor NEWA list of free and paid software available for bioacoustic analyses
Home Page: https://rhine3.github.io/bioacoustics-software/
A list of free and paid software available for bioacoustic analyses
Home Page: https://rhine3.github.io/bioacoustics-software/
As discussed in #1 - it would be great to create a filterable website (and possibly an automatically updated README?) for the bioacoustics software list. @NickleDave suggested potentially basing this off of the system that @vsoch used to create the Research Software Encyclopedia.
Hi @rhine3 thank you again for putting together this great resource
The model both segments and classifies the segments -- diff't people have diff't schema but I think on the README it would make sense under classification
crowsetta
and vak
-- we set up a GitHub org so they live here now: https://github.com/vocalpyLast thing: very minor but I don't think AVA does detection or segmenting per se? (You have it under "detection"). I say this because they used tweetynet
with vak
to do some of the segmenting (see methods of eLife paper). The main goal of AVA as I understand it is to do dimensionality reduction by mapping existing sounds/segments to a latent space with fewer dimensions. Similar (but not the same) as models from Tim Sainburg (https://github.com/timsainb/avgn_paper). Maybe you could consider adding a section like "Unsupervised / clustering / dimensionality reduction"?
Add the following:
Make this document easier to cite using a DOI and Zenodo versioning
https://synergy.st-andrews.ac.uk/soundanalysis/ is a dead link.
The new page is:
https://soundanalysis.wp.st-andrews.ac.uk/
Thanks for the work done! Very useful compilation.
Do you think our packages (under development) would meet the criteria to be on this list?
pypam: https://github.com/lifewatch/pypam for long-term underwater acoustics data visualization, focused on ML for bioacoustics
pyporcc: https://github.com/lifewatch/pyporcc a python version of the PAMGuard click detector, together with a published click classifier
We also published a collection of jupyter notebooks to categorize soundscapes in an unsupervised way:
https://github.com/lifewatch/categorizing_soundscapes/tree/main
Furthermore, not ours but maybe also interesting:
https://github.com/earthspecies/aves (and maybe other packages from ESP? https://github.com/earthspecies)
https://github.com/earthspecies/cocktail-party-problem
https://git-dev.cs.dal.ca/meridian/NARW_detection_tool
https://bitbucket.org/CLO-BRP/manta-wiki/wiki/Home
https://github.com/schonkopf/soundscape_IR
https://github.com/kitzeslab/opensoundscape
Thank you!
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