I am an interdisciplinary researcher investigating how technology can be used to monitor biodiversity, in particular using bioacoustic and ecoacoustic approaches.

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

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

wildlife.systems website

Code for running a WildlifeSystems node on a Raspberry PI.

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.

Open-source and modular toolbox for quantitative soundscape analysis in Python

A reproducible workflow for synthetic insect soundscape generation and acoustic metric analysis.

Simplified analysis for passive acoustic monitoring

Tools for soundscape analytics

Toolset for analysis and visualisation of bioacoustic and ecoacoustic datasets.

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

Bioacoustics quotes R package

Comprehensive collection of publicly available, strongly-labeled soundscape datasets for bioacoustic analysis research and benchmarking

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

An open toolbox of soundscape information retrieval

Streamline your ecoacoustic analysis with LEAVES, offering advanced tools for large-scale soundscape annotation and visualization. Join researchers and citizen scientists using LEAVES to analyze complex soundscapes faster and more accurately.

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

Listening Lab audio analysis and annotation tool. Develop audio classification models to detect sparse audio events within field recordings

Browse the quote database of the bioacousticsquotes R package