Abstract
Passive Acoustic Monitoring (PAM) recently extended to a very wide range of animals, but no available open software has been sufficiently generic to automatically treat several taxonomic groups. Here we present Tadarida , a software toolbox allowing for the detection and labelling of recorded sound events, and to classify any new acoustic data into known classes. It is made up of three modules handling Detection, Labelling and Classification and running on either Linux or Windows. This development resulted in the first open software (1) allowing generic sound event detection (multi-taxa), (2) providing graphical sound labelling at a single-instance level and (3) covering the whole process from sound detection to classification. This generic and modular design opens numerous reuse opportunities among (bio)acoustics researchers, especially for those managing and/or developing PAM schemes. The whole toolbox is openly developed in C++ (Detection and Labelling) and R (Classification) and stored at https://github.com/YvesBas .
Highlights
Passive Acoustic Monitoring (PAM) recently extended to a very wide range of animals, but no available open software has been sufficiently generic to automatically treat several taxonomic groups
It is made up of three modules handling Detection, Labelling and Classification and running on either Linux or Windows. This development resulted in the first open software (1) allowing generic sound event detection, (2) providing graphical sound labelling at a single-instance level and (3) covering the whole process from sound detection to classification
(1) Overview Introduction Reduced cost of acoustic recorders and increase in storage capacity has resulted in an exponential development of Passive Acoustic Monitoring (PAM) of a very wide range of animals in a few years [1, 2, 3], opening up a new field of research [4] and responding to an urgent need for biodiversity monitoring [5]
Summary
Passive Acoustic Monitoring (PAM) recently extended to a very wide range of animals, but no available open software has been sufficiently generic to automatically treat several taxonomic groups. We present Tadarida, a software toolbox allowing for the detection and labelling of recorded sound events, and to classify any new acoustic data into known classes. Tadarida development focused on detecting every sound event, even if they are structurally very different (e.g. bats and bush-crickets) and overlapping in time or frequency.
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