BirdNET analyzer for scientific audio data processing.

Python library for downloading, loading & working with sound datasets

Soundscape analysis with BirdNET.

Open-source and modular toolbox for quantitative soundscape analysis in Python

A neural network framework for researchers studying acoustic communication

A tool to work with any format for annotating animal sounds

Multi-species bioacoustic classification using deep learning algorithms

Koogu is a Python package for developing and using Machine Learning (ML) solutions in Animal Bioacoustics.

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.

A core package for acoustic communication research in Python

An open toolbox of soundscape information retrieval

Unsupervised classification to improve the quality of a bird song recording dataset. https://doi.org/10.1016/j.ecoinf.2022.101952

An open-source package providing standardized tools for sound event analysis and data management.

animal2vec: A self-supervised transformer for rare-event raw audio input

Python toolkit to implement bioacoustics classifier on embedded systems.

A Python library for identifying bird species by their sounds.

Tools for annotating and processing bioacoustic recordings

Scan audio recordings for bird sounds and generate Audacity label files

A Python wrapper for Tadarida-D: A Toolbox for Animal Detection on Acoustic Recordings