There are 2 repositories under bioacoustics topic.
BirdNET analyzer for scientific audio data processing.
Realtime BirdNET soundscape analyzer
Open-source and modular toolbox for quantitative soundscape analysis in Python
Using machine learning to detect beluga whale calls in hydrophone recordings
Tools of soundscape information retrieval, this repository is a developing project. Please go to https://github.com/meil-brcas-org/soundscape_IR for full releases.
Koogu is a Python package for developing and using Machine Learning (ML) solutions in Animal Bioacoustics.
Multi-species bioacoustic classification using deep learning algorithms
Real-time AI-assisted killer whale notification system (model and moderator portal) :star:
An open toolbox of soundscape information retrieval
Audio Annotation Tool for ML development
An R package for NSNSD bioacoustics workflows, including functions for using BirdNET and converting to sound pressure levels
AI powered audio analyser for bird call visualisation, detection and cataloguing
Fully automated machine learning pipeline for bird sound recognition
Electron app for sound file analysis with BirdNET.
An open-source package providing standardized tools for sound event analysis and data management.
A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!
Tools for annotating and processing bioacoustic recordings
banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.
animal2vec: A self-supervised transformer for rare-event raw audio input
wildRtrax is an R package for environmental sensor data management and analytics
A Python wrapper for Tadarida-D: A Toolbox for Animal Detection on Acoustic Recordings
Source code for BMBF InnoTruck demo of BirdNET.
Simple Python utility for parsing AudioMoth metadata
A benchmark dataset collection for bird sound classification
Python packing of the physical model motor gestures to characterize and create birdsongs