A neural network framework for researchers studying acoustic communication
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Updated
Sep 5, 2024 - Python
A neural network framework for researchers studying acoustic communication
This repository contains a collection of software packages designed for the passive acoustic monitoring (PAM) of forest elephant rumbles. These tools facilitate the detection, classification, and analysis of elephant vocalizations, aiding in conservation and research efforts.
Carlos Abrahams Bioacoustics and Ecoacoustics training course materials
A tool to work with any format for annotating vocalizations
ThinkBioT is an Bioacoustic sensor framework for the collection, processing and satellite transmission of Bio-Taxa Classification and Acoustic Indices data.
Javascript library for displaying zero-crossing audio files
Deep learning for monitoring environment and biodiversity through acoustic recognition of landscapes and animal sounds
Web interface that allows to listen to tracks and label them while viewing the spectrogram. The tracks can be organized into projects and devices.
Evaluation of time-frequency analysis algorithms for bioacoustics applications.
AI powered audio analyser for bird call visualisation, detection and cataloguing
a machine learning tool to detect and classify bee buzzes in audio
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