Bengalese Finch song repository

This is a collection of song from four Bengalese finches recorded in the Sober lab at Emory University. The song has been hand-labeled by two of the authors. To make it easy to work with the dataset, we have created a Python package, "evfuncs", available at https://github.com/soberlab/evfuncs (Please see "References" section below for a direct link).

How to work with the files is described on the README of that library, but we describe the types of files here briefly. The actual sound files have the extension .cbin and were created by an application that runs behavioral experiments and collects data called EvTAF. Each .cbin file has an associated .cbin.not.mat file that contains song syllable onsets, offsets, labels, etc., created by a GUI for song annotation called evsonganaly. Each .cbin file also has associated .tmp and .rec files, also created by EvTAF. Those files are not strictly required to work with this dataset but are included for completeness.

We share this collection as a means of testing different machine learning algorithms for classifying the elements of birdsong, known as syllables. A Python package for that purpose, "hybrid-vocal-classifier", was developed in part using this dataset.
To learn more about hybrid-vocal-classifier, please visit https://hybrid-vocal-classifier.readthedocs.io/en/latest/ (see "References" section below for a direct link).