COVYT
收藏arXiv2022-06-21 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2206.11045v1
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资源简介：
COVYT数据集是由德国奥格斯堡大学健康护理与福祉嵌入式智能研究所创建的，包含来自YouTube和TikTok的8小时以上语音数据，涉及65名感染与未感染COVID-19的相同说话者。该数据集旨在通过语音分析非侵入性地检测COVID-19，覆盖多种语言，适用于机器学习模型训练和个性化COVID-19检测研究。
The COVYT Dataset was created by the Institute for Embedded Intelligence in Healthcare and Wellbeing at the University of Augsburg, Germany. It contains over 8 hours of speech data collected from YouTube and TikTok, involving 65 speakers who were either infected with COVID-19 or uninfected. This dataset aims to non-invasively detect COVID-19 through speech analysis, covering multiple languages, and is suitable for machine learning model training and personalized COVID-19 detection research.
提供机构：
健康护理与福祉嵌入式智能研究所
创建时间：
2022-06-21
