2017/05/15 by Ivan Kiskin, Wang, Lawrence, Kiskin, Ivan +21
Biochemistry, Genetics and Molecular Biology · Computer Science · #Animal Vocal Communication and Behavior #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing
paper · pdf · doi:10.48550/arxiv.1705.05180
openalex publication_date 2017/05/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
<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: neurips2021zenodo002.csv