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. We share it as a means of testing different machine learning algorithms for classifying the elements of birdsong, known as syllables. A Python package, hybrid-vocal-classifier (HVC), has been tested using this dataset: https://github.com/NickleDave/hybrid-vocal-classifier.
The actual sound files have the extension .cbin and were collected using the program EvTAF. They can be loaded with the `load_cbin` function in the `evfuncs` module of HVC. Each .cbin file has an associated .cbin.not.mat file that contains song syllable onsets, offsets, labels, etc. These files can be opened with the `load_notmat` function in the `evfuncs` module. 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.