There are 3 repositories under ecoacoustics topic.
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
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
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.
Toolset for analysis and visualisation of bioacoustic and ecoacoustic datasets.
Dash app to visualize acoustic spaces occupied by birds using dimensionality reduction techniques. Demo on Maputo Special Reserve, Mozambique.
Python library to extract global acoustic indices from an audio file for use as a biodiversity proxy, within the framework of Ecoacoustics.
Listening Lab audio analysis and annotation tool. Develop audio classification models to detect sparse audio events within field recordings
Reproduce graphical soundscape analysis for a sampling site.
Small example workflow using warbleR and Rraven to split audio and selection tables.
Website for collaborative ecoacoustics research
Shows the status of various bioacoustics and eoacoustics services
Multi Index Motif Classification for Soundscapes, an R package
Bioacoustic and ecoacoustic visualisation book
Documentation for the audioBlast project.
VRES 2018-2019 Project Working on Big Data Visualisation
Script for setting up the sound recording environment on a Raspberry Pi
wildlife.systems website
Code for running a WildlifeSystems node on a Raspberry PI.
Workflow for preparing ecoacoustic species annotations and raster layers to use in species distribution modelling, with R
I am an interdisciplinary researcher investigating how technology can be used to monitor biodiversity, in particular using bioacoustic and ecoacoustic approaches.