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To compliment the existing set of datasets, we present a small datasetentitled vocadito, consisting of 40 short excerpts of monophonic singing, sungin 7 different languages by singers with varying of levels of training, andrecorded on a variety of devices. We provide several types of annotations,including $f_0$, lyrics, and two different note annotations. All annotationswere created by musicians. We provide an analysis of the differences betweenthe two note annotations, and see that the agreement level is low, which hasimplications for evaluating vocal note estimation algorithms. We also analyzethe relation between the $f_0$ and note annotations, and show that quantizing$f_0$ values in frequency does not provide a reasonable note estimate,reinforcing the difficulty of the note estimation task for singing voice.Finally, we provide baseline results from recent algorithms on vocadito fornote and $f_0$ transcription. Vocadito is made freely available for public use.

vocadito: A dataset of solo vocals with $f_0$, note, and lyric annotations