Dataset Open Access
Bongjun Kim; Bryan Pardo
The VocalImitationSet is a collection of crowd-sourced vocal imitations of a large set of diverse sounds collected from Freesound (https://freesound.org/), which were curated based on Google's AudioSet ontology (https://research.google.com/audioset/). We expect that this dataset will help research communities obtain a better understanding of human's vocal imitation and build a machine understand the imitations as humans do.
See https://github.com/interactiveaudiolab/VocalImitationSet for more information about this dataset and its latest updates.
For citations, please use this reference:
Bongjun Kim, Madhav Ghei, Bryan Pardo, and Zhiyao Duan, "Vocal Imitation Set: a dataset of vocally imitated sound events using the AudioSet ontology," Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018), Nov. 2018.
- Interactive Audio Lab: http://music.eecs.northwestern.edu