The HumBug Challenge: ComParE 2022
收藏Zenodo2022-04-27 更新2026-04-07 收录
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https://zenodo.org/record/6478589
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资源简介：
<strong>A large-scale multi-species dataset of acoustic recordings</strong> Dataset compatible with two papers: The <strong>Computational Paralinguistics ChallengE (ComParE): Mosquito Event Detection Task</strong><strong> </strong>https://github.com/EIHW/ComParE2022/tree/MOS-C An update to: <em>HumBugDB: a large-scale acoustic mosquito dataset:</em> NeurIPS 2021 Paper https://github.com/HumBug-Mosquito/HumBugDB. 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 <em>audio/data/</em><em>train</em> and <em>audio/data/</em><em>dev/{a/b} respectively</em> Metadata in <em>csv</em> format: neurips_2021_zenodo_0_0_2.csv
提供机构：
SRI International; Dickson Msaky; IHI Tanzania; Rinita Dam; Mind Foundry Ltd.; Waqas Rafique; UCC BEES; University of Surrey; University of Oxford
创建时间：
2022-04-27
