Autoencoded Vocal Analysis v0.3.1

Modeling animal vocalizations with VAEs

See our article for details:

Goffinet, J., Brudner, S., Mooney, R., & Pearson, J. (2021). Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires. eLife, 10:e67855. https://doi.org/10.7554/eLife.67855

See examples/ for usage.

See readthedocs for documentation and a tutorial.

To build:

$ git clone https://github.com/pearsonlab/autoencoded-vocal-analysis
$ cd autoencoded-vocal-analysis
$ pip install .

Dependencies:

• Python3 (3.5+)
• PyTorch
• UMAP
• affinewarp

Issues and pull requests are appreciated!

See also:

• Animal Vocalization Generative Network, a nice repo by Tim Sainburg for clustering birdsong syllables and generating syllable interpolations.
• DeepSqueak and MUPET, MATLAB packages for detecting and classifying rodent ultrasonic vocalizations.
• Sound Analysis Pro, software for analyzing birdsong.