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.

An open toolbox of soundscape information retrieval

A neural network classifier for urban soundscapes

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

Web application for ecoacoustics to manage, navigate, visualise, annotate, and analyse soundscape recordings.

The acoustic workbench server for storing and managing ecoacoustic data. Manages the structure and audio data. Provides an API for clients access.

Carlos Abrahams Bioacoustics and Ecoacoustics training course materials

Toolset for analysis and visualisation of bioacoustic and ecoacoustic datasets.

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

Dash app to visualize acoustic spaces occupied by birds using dimensionality reduction techniques. Demo on Maputo Special Reserve, Mozambique.

Reproduce graphical soundscape analysis for a sampling site.

Python library to extract global acoustic indices from an audio file for use as a biodiversity proxy, within the framework of Ecoacoustics.

Small example workflow using warbleR and Rraven to split audio and selection tables.

PAM annotation tool that uses ML to retrieve high-priority samples

Website for collaborative ecoacoustics research

Script for setting up the sound recording environment on a Raspberry Pi