We present El Bongosero, a large-scale, open-source symbolic dataset comprising expressive, improvised drum performances crowd-sourced from a pool of individuals with
varying levels of musical expertise. Originating from an
interactive installation hosted at Centre de Cultura Contemporània de Barcelona, our dataset consists of 6,035
unique tapped sequences performed by 3,184 participants.
To our knowledge, this is the only symbolic dataset of its
size and type that includes expressive timing and dynamics
information as well as each participant’s level of expertise.
These unique characteristics could prove to be valuable to
future research, particularly in the areas of music generation and music education. Preliminary analysis, including a step-wise Jaccard similarity analysis on a subset of
the data, demonstrate that this dataset is a diverse, nonrandom, and musically meaningful collection. To facilitate
prompt exploration and understanding of the data, we have
also prepared a dedicated website and an open-source API
in order to interact with the data.
BibTeX
@inproceedings{Haki2024ELBNG,title={{El Bongosero: A Crowd-sourced Symbolic Dataset of Improvised Hand Percussion Rhythms Paired with Drum Patterns}},author={Evans, Nicholas and Haki, Behzad and Gomez, Daniel and Jorda, Sergi},booktitle={{Proceedings of the 24th International Society for Music Information Retrieval Conference}},year={2024},month=nov,publisher={ISMIR},}
El Bongosero is a dataset of hand-played bongo grooves that accompany drum patterns.
This project was also featured as an interactive installation at the CCCB’s exhibition “AI: Artificial Intelligence” in Barcelona (October 2023 – March 2024).