A neural network framework for researchers studying acoustic communication

an app that helps you memorize bird calls

A Python library for identifying bird species by their sounds.

BirdNET analyzer for scientific audio data processing.

Identify bird sounds in real time with this Android version of BirdNET. Bird sound recognition for more than 6,000 species worldwide.

As part of a practical ecology course in the first year of biology at the ENS in Lyon, we used recorded strophes from different bird species to reconstruct audio files for broadcast to Eurasian blackcap in order to study their terrotorial behaviour in relation to both conspecific and heterospecific males.

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!

The Wytham Great Tit Song Dataset: A densely sampled and richly annotated acoustic dataset from a wild bird population

A python api for BirdNET-Lite and BirdNET-Analyzer

A tool to work with any format for annotating vocalizations

A realtime acoustic bird classification system for the Raspberry Pi 4/5, based on BirdNET-Pi

Python packing of the physical model motor gestures to characterize and create birdsongs

Android quizz game to learn the birds' sound.

Python wrapper for the xeno-canto.org API to aid in downloading and managing recordings.

A realtime acoustic bird classification system for the Raspberry Pi 5, based on BirdNET-Pi

A docker-based Django application utilizing birdnetlib

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

XenoPy: Python wrapper for Xeno-canto API 2.0. Supports multiprocessing.

Unsupervised birdsong separation for classification