Open-source and modular toolbox for quantitative soundscape analysis in Python
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Updated
Jun 20, 2024 - Python
Open-source and modular toolbox for quantitative soundscape analysis in Python
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 neural network classifier for urban soundscapes
An open toolbox of soundscape information retrieval
The acoustic workbench server for storing and managing ecoacoustic data. Manages the structure and audio data. Provides an API for clients access.
Unsupervised classification to improve the quality of a bird song recording dataset. https://doi.org/10.1016/j.ecoinf.2022.101952
Carlos Abrahams Bioacoustics and Ecoacoustics training course materials
Web application for ecoacoustics to manage, navigate, visualise, annotate, and analyse soundscape recordings.
Physics‐based model to predict the acoustic detection distance of terrestrial autonomous recording units over the diel cycle and across seasons: Insights from an Alpine and a Neotropical forest. Haupert et. al. 2023, Methods in Ecology and Evolution.
Listening Lab audio analysis and annotation tool. Develop audio classification models to detect sparse audio events within field recordings
Multi Index Motif Classification for Soundscapes, an R package
Website for collaborative ecoacoustics research
Reproduce graphical soundscape analysis for a sampling site.
Toolset for analysis and visualisation of bioacoustic and ecoacoustic datasets.
Script for setting up the sound recording environment on a Raspberry Pi
Code for running a WildlifeSystems node on a Raspberry PI.
Small example workflow using warbleR and Rraven to split audio and selection tables.
Bioacoustic and ecoacoustic visualisation book
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