BirdNET analyzer for scientific audio data processing.

AI powered audio analyser for bird call visualisation, detection and cataloguing

Provides Urban Nature Project bioacoustic data to audioblast.org.

Realtime BirdNET soundscape analyzer

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

Real-time AI-assisted killer whale notification system (model and moderator portal) ⭐

Audio Annotation Tool for ML development

Ecoacoustic analysis platform empowering conservationists to analyze acoustic data and to derive insights about the ecosystem at scale

A benchmark dataset collection for bird sound classification

An R package for NSNSD bioacoustics workflows, including functions for using BirdNET and converting to sound pressure levels

Code used in 'A scalable unsupervised deep learning approach extracts behavioural and demographic insights from forest elephant vocalisations'

AST model fine-tuned for bioacoustics

Nest-box visit monitoring system. Record and playback soundfiles triggered by (RFID) pit tagging numbers to manipulate organisms (animals). Application design with mainboard MOMO.

This is an R package that enables environmental sensor users to create comprehensive work flows for managing and analyzing data

Python toolkit to implement bioacoustics classifier on embedded systems.

Toolset for analysis and visualisation of bioacoustic and ecoacoustic datasets.

Application of AI techniques to ecological data

A neural network framework for researchers studying acoustic communication

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!

Automatic detection of acoustic signals