Maxime Bru Maxime-Bru
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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 co…
Repository companion to the paper : Lellouch & al. Sound source localization in a natural soundscape with autonomous recorder units based on a new time-difference-of-arrival algorithm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
AI powered audio analyser for bird call visualisation, detection and cataloguing
DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research
Pre-trained models for bioacoustic classification tasks
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)
This is an R package that enables environmental sensor users to create comprehensive work flows for managing and analyzing data
This repository gathers the list of online publicly available bioacoustics datasets that can be used together with deep learning.
Visualisation and quantification of soundscapes using SSE software
A python library for soundscape assessments
A benchmark dataset collection for bird sound classification
Python library for downloading, loading & working with sound datasets
Koe: open-source software to visualise, segment and classify acoustic units in animal vocalisations
A python api for BirdNET-Lite and BirdNET-Analyzer
PyTorch reimplementation of per-channel energy normalization for audio.
LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks, and then be trained for the task at hand, while using a ve…
ecoSecrets is a web application which enables users to manage their camera traps data
ecomontec / ecoSound-web
Forked from nperezg/biosoundsWeb application for ecoacoustics to manage, navigate, visualise, annotate, and analyse soundscape recordings.
An Animal Independent Deep Learning Framework for Bioacoustic Signal Segmentation and Classification Including a Detailed User-Guide