The COVID-19 pandemic has caused massive humanitarian and economic damage. Teams of scientists from a broad range of disciplines have searched for methods to help governments and communities combat the disease. One avenue from the machine learning field which has been explored is the prospect of a digital mass test which can detect COVID-19 from infected individuals' respiratory sounds. We present a summary of the results from the INTERSPEECH 2021 Computational Paralinguistics Challenges: COVID-19 Cough, (CCS) and COVID-19 Speech, (CSS).
翻译:COVID-19大流行造成了巨大的人道主义和经济损害,来自各学科的科学家小组已寻求帮助政府和社区防治该疾病的方法,从机器学习领域探索的一个途径是,有可能进行数字质量测试,从受感染者的呼吸声中检测COVID-19,我们总结了INSPEECH 2021 计算语言挑战:COVID-19 Cough(CCS)和COVID-19 Speaking(CSS)的结果。