Ecoacoustics, a discipline that was born in 2014 at the Muséum national d'Histoire naturelle, develops research in ecology through the recording and analysis of acoustic populations, communities, and landscapes. Autonomous recorders can store a large amount of audio files (up to hundreds of thousands) that need to be analysed automatically. Two options are currently in use: (1) species of interest are identified through a pattern matching process in a reference to a sound library as the sonothèque of the MNHN, or use acoustic indices which estimate the sound diversity of recordings without any species identification. MAAD is a new technique in between these two strategies. MAAD aims at detecting and clustering the sounds embedded in a recording and can therefore estimate independently the acoustic richness and composition of an audio recording. MAAD should then particate to the current effort in describing in space and time the sounds emanating from natural enviroments as those of French Guiana.
MAAD, a new rational technique to analyse ecoacoustic recordings
Ecoacoustics – a new born discipline that studies population, community and landscape acoustics – requires appropriate signal analysis tools. MAAD is a new unsupervised technique that can estimate automatically and without a priori the different sounds found in a recording.
Lien : https://www.sciencedirect.com/science/article/pii/S1470160X1830181X
Sons : Savane Roche [Rocky savannah] : MNHN-SO-14390, MNHN-SO-14398, MNHN-SO-2016-14400, MNHN-SO-2016-14404,
Forêt [Forest]: MNHN-SO-2016-14368 , MNHN-SO-2016-14371, MNHN-SO-2016-14375, MNHN-SO-2016-14376
Ulloa JS, Aubin T, Llusia D, Bouveyron C, Sueur J (2018) - Estimating animal acoustic diversity in tropical environments using unsupervised multiresolution analysis. Ecological Indicators.