Published April 27, 2022
| Version 0.0.2
Dataset
Open
The HumBug Challenge: ComParE 2022
Creators
- 1. University of Oxford
- 2. SRI International
- 3. Mind Foundry Ltd.
- 4. University of Surrey
- 5. UCC BEES
- 6. IHI Tanzania
Description
A large-scale multi-species dataset of acoustic recordings
Dataset compatible with two papers:
- The Computational Paralinguistics ChallengE (ComParE): Mosquito Event Detection Task https://github.com/EIHW/ComParE2022/tree/MOS-C
- An update to: HumBugDB: a large-scale acoustic mosquito dataset:
A large-scale multi-species dataset containing recordings of mosquitoes collected from multiple locations globally, as well as via different collection methods. In total, we present 20 hours of labelled mosquito data with 15 hours of corresponding background noise, recorded at the sites of 8 experiments. Of these, 64,843 seconds contain species metadata, consisting of 36 species (or species complexes).
This repository contains:
- Audio files to be extracted into audio/data/train and audio/data/dev/{a/b} respectively
- Metadata in csv format: neurips_2021_zenodo_0_0_2.csv
Notes
Funding from the 2014 Google Impact Challenge Award, and The Bill and Melinda Gates Foundation (https://www.gatesfoundation.org/about/committed-grants/2019/07/opp1209888)