vak वाच् vāc

a neural network toolbox for animal vocalizations and bioacoustics

_images/song_with_colored_segments.png

vak is a library that makes it easier for researchers studying animal vocalizations—such as birdsong, bat calls, and even human speech—to work with neural network algorithms.

Currently the main use is automated annotation of animal vocalizations. By annotation, we mean something like this example of annotated birdsong:

_images/annotation_example_for_tutorial1.png

Please see links below for information on how to get started and how to use vak to apply neural network models to your data.

Getting Started

If you are new to working with vak, and you’re looking for installation instructions and a tutorial, start here.

How-to guides

If there is something specific you’re trying to do, like use your own spectrogram files or annotation formats with vak, please check in the How-to guides.

Reference

If you need to look up information about the command-line interface, configuration files, etc., please consult the Reference.

Development

To learn about development of vak and how you can contribute, please see Development

About vak वाच् vāc

For more about the goals of vak and its development, please see About vak वाच् vāc.

Poems

Not enough open-source research software libraries have poems. We do, here: Poems.