# vocadito: A dataset of solo vocals with f0, note, and lyric annotations

arXiv: https://arxiv.org/abs/2110.05580 · HTML: https://mlsanity.com/paper/2110.05580/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Oct 2021.

## Built on by (most cited first, 8 of 8)

- [SingSong: Generating musical accompaniments from singing](https://mlsanity.com/paper/2301.12662/) (2023)
- [LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT](https://mlsanity.com/paper/2306.17103/) (2023)
- [An Experimental Comparison Of Multi-view Self-supervised Methods For Music Tagging](https://mlsanity.com/paper/2404.09177/) (2024)
- [MedleyVox: An Evaluation Dataset for Multiple Singing Voices Separation](https://mlsanity.com/paper/2211.07302/) (2022)
- [SwiftF0: Fast and Accurate Monophonic Pitch Detection](https://mlsanity.com/paper/2508.18440/) (2025)
- [FCPE: A Fast Context-based Pitch Estimation Model](https://mlsanity.com/paper/2509.15140/) (2025)
- [More than words: Advancements and challenges in speech recognition for singing](https://mlsanity.com/paper/2403.09298/) (2024)
- [Audio-FLAN: An Instruction-Following Dataset for Unified Audio Understanding and Generation of Speech, Music, and Sound](https://mlsanity.com/paper/2502.16584/) (2025)

## Abstract (arXiv)

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 f0, 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 f0 and note annotations, and show that quantizing f0 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 f0 transcription. Vocadito is made freely available for public use.