ComParE COVID-19 挑战赛综述
声音
2022-02-21 v1 机器学习
音频与语音处理
摘要
COVID-19 疫情造成了巨大的人道主义与经济损害。来自广泛学科的科学家团队一直在寻找帮助政府与社区抗击该疾病的方法。机器学习领域中被探索的一条途径是有望通过感染个体的呼吸音检测 COVID-19 的数字大规模检测。我们综述了 INTERSPEECH 2021 计算副语言学挑战赛的结果：COVID-19 咳嗽（CCS）与 COVID-19 语音（CSS）。
引用
@article{arxiv.2202.08981,
title = {A Summary of the ComParE COVID-19 Challenges},
author = {Harry Coppock and Alican Akman and Christian Bergler and Maurice Gerczuk and Chloë Brown and Jagmohan Chauhan and Andreas Grammenos and Apinan Hasthanasombat and Dimitris Spathis and Tong Xia and Pietro Cicuta and Jing Han and Shahin Amiriparian and Alice Baird and Lukas Stappen and Sandra Ottl and Panagiotis Tzirakis and Anton Batliner and Cecilia Mascolo and Björn W. Schuller},
journal= {arXiv preprint arXiv:2202.08981},
year = {2022}
}
备注
18 pages, 13 figures