Software

BatSpot

BatSpot is a convolutional neural network with graphical user interface developed by Christopher Hauer and me. It can detect search phase calls, buzzes and social calls of bats, and classify the search phase calls. It includes a README to help the user retrain the existing model for their specific recording situation. You can find the publication here and the repository with the latest version here.

callsync

callsync is an R packaged with five main functions: (1) alignment and partitioning of drifting microphones using signal compression and cross correlation, (2) call detection using an amplitude envelope, (3) fine-scale alignment and call assignment across recordings using cross correlation and energy content, (4) fundamental frequency tracing and (5) analysis of the resulting traces and wav clips. To read the preprint describing its functions and testing it on a real data set go here. If you just want to install the package you can do so directly from CRAN or go to this repository.

ANIMAL-SPOT

ANIMAL-SPOT is a convolutional neural network developed by Christian Bergler and others. It has two main functions: (1) signal detections and (2) signal classification, and can be used for any animal species. To read the paper describing the functions and testing its performance on several species go here. If you just want to download the source code and user code go here.