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Analysis of Multidimensional Microscopy Data Using Cell-ACDC

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BattyCoda: A novel open-source software for bat call annotation and classification.

Gabriela C Nunez-Mir¹, Kevin M Boergens², Jessica C Montoya¹

¹University of Illinois at Chicago, Department of Biological Sciences, 845 West Taylor Street, Chicago, IL 60607, USA.

Ecological Informatics

|September 24, 2025

Summary

This summary is machine-generated.

BattyCoda is a new tool that helps researchers label bat communication calls. It uses small datasets to classify call types, improving acoustic communication research.

Keywords:

Bats Bioacoustics Classification Communication calls Echolocation Machine learning Multivariate statistics

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Area of Science:

Bioacoustics
Animal Communication
Machine Learning in Ecology

Background:

Acoustic communication research requires tools for annotating animal vocalizations.
Existing machine learning models for bat calls primarily focus on echolocation, not communication calls, due to large data needs.
Bat communication repertoires are diverse, with rare call types posing classification challenges.

Purpose of the Study:

To introduce BattyCoda, an open-access tool for categorizing and labeling bat communication call types.
To enable classification of bat communication calls using small training datasets.
To enhance the study of bat acoustic communication.

Main Methods:

Developed BattyCoda, a customizable tool for labeling bat communication calls.
Compiled an initial training dataset of 11 big brown bat (Eptesicus fuscus) call types.
Tested various classifiers and assessed training sample size sensitivity.

Main Results:

The best classifier achieved ~50% balanced accuracy for all call types.
Common call types were classified with >70% accuracy.
The tool effectively labels common calls and aids in categorizing rarer communication calls.

Conclusions:

BattyCoda facilitates the annotation of bat communication calls, even with limited data.
The tool can expand acoustic libraries and enable new research hypotheses in bat communication.
This work advances the capacity for bioacoustic research in bats.