  To compliment the existing set of datasets, we present a small dataset
entitled vocadito, consisting of 40 short excerpts of monophonic singing, sung
in 7 different languages by singers with varying of levels of training, and
recorded on a variety of devices. We provide several types of annotations,
including $f_0$, lyrics, and two different note annotations. All annotations
were created by musicians. We provide an analysis of the differences between
the two note annotations, and see that the agreement level is low, which has
implications for evaluating vocal note estimation algorithms. We also analyze
the 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 for
note and $f_0$ transcription. Vocadito is made freely available for public use.
