BirdNET analyzer for scientific audio data processing.
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Updated
Jun 3, 2024 - Python
BirdNET analyzer for scientific audio data processing.
Soundscape analysis with BirdNET.
streamline acoustic analysis in R
Real-time AI-assisted killer whale notification system (model and moderator portal) ⭐
Open-source and modular toolbox for quantitative soundscape analysis in Python
Python library for downloading, loading & working with sound datasets
A neural network framework for researchers studying acoustic communication
Using machine learning to detect beluga whale calls in hydrophone recordings
Realtime BirdNET soundscape analyzer
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.
Multi-species bioacoustic classification using deep learning algorithms
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!
wildRtrax is an R package for environmental sensor data management and analytics
A benchmark dataset collection for bird sound classification
DyniClick : open-source toolbox for stereo audio click detection, analysis, tracking and exploration
Koogu is a Python package for developing and using Machine Learning (ML) solutions in Animal Bioacoustics.
Tools for annotating and processing bioacoustic recordings
BirdCLEF 2018 implementation
An open toolbox of soundscape information retrieval
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