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Vocal Imitation Set v1.1.3 : Thousands of vocal imitations of hundreds of sounds from the AudioSet ontology
Open accessAbstract
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. Contact Info: - Interactive Audio Lab: http://music.eecs.northwestern.edu - Bongjun Kim bongjun@u.northwestern.edu | http://www.bongjunkim.com - Bryan Pardo pardo@northwestern.edu | http://www.bryanpardo.com
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Cited by 2
Metadata
- Authors
- Kim, B., & Pardo, B.
- Affiliations
- Northwestern University (US)
- Venue
- Zenodo
- Publisher
- Zenodo
- Published
- 2018-08-06
- OpenAlex
- W4393671091
- Cited by
- 2
- References
- 0
- Citations by year
- 2026: 1 · 2019: 1
- Type
- dataset
- Language
- en
- Open access
- green
- figshare.com
- Licence
- Locations
- Figshare (submittedVersion, cc-by)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Zenodo (CERN European Organization for Nuclear Research) (cc-by)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
- Social Sciences › Arts and Humanities › Music › Music Technology and Sound Studies
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Keywords
- vocal imitation, Freesound, sound event detection, sound event classification, human vocalizations
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Vocal Imitation Set v1.1.3 : Thousands of vocal imitations of hundreds of sounds from the AudioSet ontology. https://app.cochat.ai/papers/10.5281/zenodo.1249723
- The paper
- Kim, B., & Pardo, B. (2018). Vocal Imitation Set v1.1.3 : Thousands of vocal imitations of hundreds of sounds from the AudioSet ontology. Zenodo. https://doi.org/10.5281/zenodo.1249723
