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Through my PhD I have contributed to two pieces of software to analyse acoustic data:
callsync is an R packaged developed by me. It has 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 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.