BirdNET analyzer for scientific audio data processing.
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Updated
Oct 4, 2024 - Python
BirdNET analyzer for scientific audio data processing.
Soundscape analysis with BirdNET.
Python library for downloading, loading & working with sound datasets
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 vocalizations
Koogu is a Python package for developing and using Machine Learning (ML) solutions in Animal Bioacoustics.
Multi-species bioacoustic classification using deep learning algorithms
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.
An open toolbox of soundscape information retrieval
A core package for acoustic communication research in Python
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
Tools for annotating and processing bioacoustic recordings
A Python wrapper for Tadarida-D: A Toolbox for Animal Detection on Acoustic Recordings
DyniClick : open-source toolbox for stereo audio click detection, analysis, tracking and exploration
Source code for BMBF InnoTruck demo of BirdNET.
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