AVA: autoencoded vocal analysis

Welcome to AVA, a python package for inferring latent descriptions of animal vocalizations using variational autoencoders. 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

You can find the code on github.

Quick Install

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

Examples

See the examples/ subdirectory on github.

User Guide:

• Install
• Package Overview
• Segmenting
• Preprocessing
• Training
• Data Management
• Plotting and Analysis

Docs:

• ava.segmenting package
• ava.preprocessing package
• ava.models package
• ava.plotting package

Indices and tables

• Index
• Module Index
• Search Page