EAR MNHN

EcoAcoustics Research team at the Museum national d'histoire naturelle (MNHN) de Paris

paris

Pinned Repositories

bambird
Unsupervised classification to improve the quality of a bird song recording dataset. https://doi.org/10.1016/j.ecoinf.2022.101952
Language:Python22 1 64
darksound
Unsupervised meta-learning for improving clustering quality in unlabeled bird sound datasets
Language:Jupyter Notebook3 0 00
Grinfeder_Landscape_Ecology_2022
Soundscape dynamics of a cold protected forest: dominance of aircraft noise. https://link.springer.com/article/10.1007/s10980-021-01360-1
Language:Jupyter Notebook2 0 00
HAUPERT_MEE_2022
Physics‐based model to predict the acoustic detection distance of terrestrial autonomous recording units over the diel cycle and across seasons: Insights from an Alpine and a Neotropical forest. Haupert et. al. 2023, Methods in Ecology and Evolution.
Language:Jupyter Notebook6 1 12
scikit-maad
Open-source and modular toolbox for quantitative soundscape analysis in Python
Language:Python00
sound_source_localization
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
Language:Jupyter Notebook60

ear-team/bambird
Unsupervised classification to improve the quality of a bird song recording dataset. https://doi.org/10.1016/j.ecoinf.2022.101952
Language:Python22 1 64
ear-team/HAUPERT_MEE_2022
Physics‐based model to predict the acoustic detection distance of terrestrial autonomous recording units over the diel cycle and across seasons: Insights from an Alpine and a Neotropical forest. Haupert et. al. 2023, Methods in Ecology and Evolution.
Language:Jupyter Notebook6 1 12
ear-team/sound_source_localization
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
Language:Jupyter Notebook60
ear-team/darksound
Unsupervised meta-learning for improving clustering quality in unlabeled bird sound datasets
Language:Jupyter Notebook3 0 00
ear-team/Grinfeder_Landscape_Ecology_2022
Soundscape dynamics of a cold protected forest: dominance of aircraft noise. https://link.springer.com/article/10.1007/s10980-021-01360-1
Language:Jupyter Notebook2 0 00
ear-team/scikit-maad
Open-source and modular toolbox for quantitative soundscape analysis in Python
Language:Python00