VimSketch Dataset combines two publicly available datasets, created by the Interactive Audio Lab: Vocal Imitation Set: 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/). VocalSketch Dataset: a dataset containing thousands of vocal imitations of a large set of diverse sounds. Publications by the Interactive Audio Lab using VimSketch: [pdf] Fatemeh Pishdadian, Bongjun Kim, Prem Seetharaman, Bryan Pardo. "Classifying Non-speech Vocals: Deep vs Signal Processing Representations," Detection and Classification of Acoustic Scenes and Events Workshop (DCASE), 2019 Contact information: - Interactive Audio Lab: http://music.eecs.northwestern.edu - Bryan Pardo pardo@northwestern.edu | http://www.bryanpardo.com - Bongjun Kim bongjun@u.northwestern.edu | http://www.bongjunkim.com - Fatemeh Pishdadian fpishdadian@u.northwestern.edu | http://www.fatemehpishdadian.com