📖Published📖 This paper introduces bacpipe, a collection of bioacoustic deep learning models and evaluation pipelines accessible through a graphical and programming interface, designed for both ecologists and computer scientists 🌍 🧪 Read here👇 buff.ly/EzLAHDM

Very happy to announce that our paper "Bacpipe: A Python package to make bioacoustic deep learning models accessible" is now published in MEE (doi.org/10.1111/2041...) 🐸🐦🦂👂 Check out bacpipe to apply any bioacoustic deep learning model to your data. Find a live demo here: bacpipe.siriusly.me

Bacpipe: A Python package to make bioacoustic deep learning models accessible

Natural sounds have been recorded for millions of hours over the previous decades using passive acoustic monitoring. Improvements in deep learning models have vastly accelerated the analysis of la...

doi.org

Perfect conditions for solar eclipse watching yesterday in The Netherlands!

Hey #bioacoustics world! There is a new bacpipe version out! New models, gpu acceleration and much more! github.com/bioacoustic-... This one is packaged, so you can pip install bacpipe! 🎊🥹 And thanks a lot to @inesnolas.bsky.social for presenting our poster on using pretrained models at #ibac2025!

GitHub - bioacoustic-ai/bacpipe: BioAcoustic Collection Pipeline

BioAcoustic Collection Pipeline. Contribute to bioacoustic-ai/bacpipe development by creating an account on GitHub.

github.com

Thanks a lot for sharing this! Have a read of my blog post and give bacpipe a try. I'd love to get feedback and if people want to contribute to this project to make it worthwhile for more people in the field, even better!

animal prattle@animal-prattle.bsky.social · last yr.

Embed ALL the sounds New tool from @vskode.bsky.social to compare methods that classify & cluster animal sounds w/ embeddings: vectors extracted from neural network models Nice example w/ AnuranSet from @juancanyas.bsky.social in post 👇 Code: github.com/bioacoustic-... #prattle 💬 ##bioacoustics