The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or associated respiratory symptoms using vocal audio. The UK Health Security Agency recruited voluntary participants through the national Test and Trace programme and the REACT-1 survey in England from March 2021 to March 2022, during dominant transmission of the Alpha and Delta SARS-CoV-2 variants and some Omicron variant sublineages. Audio recordings of volitional coughs, exhalations, and speech were collected in the 'Speak up to help beat coronavirus' digital survey alongside demographic, self-reported symptom and respiratory condition data, and linked to SARS-CoV-2 test results. The UK COVID-19 Vocal Audio Dataset represents the largest collection of SARS-CoV-2 PCR-referenced audio recordings to date. PCR results were linked to 70,794 of 72,999 participants and 24,155 of 25,776 positive cases. Respiratory symptoms were reported by 45.62% of participants. This dataset has additional potential uses for bioacoustics research, with 11.30% participants reporting asthma, and 27.20% with linked influenza PCR test results.

翻译：英国COVID-19语音音频数据集旨在为机器学习模型的训练与评估提供支持，这些模型通过语音音频对SARS-CoV-2感染状态或相关呼吸道症状进行分类。2021年3月至2022年3月期间，英国卫生安全局通过国家检测与追踪计划及英格兰REACT-1调查招募志愿参与者，此时Alpha和Delta SARS-CoV-2变异株及部分奥密克戎变异株亚系为主要传播毒株。在“大声疾呼助力击败冠状病毒”数字调查中，收集了自主咳嗽、呼气及语音的音频记录，同时获取人口统计学数据、自我报告症状及呼吸系统状况信息，并与SARS-CoV-2检测结果相关联。英国COVID-19语音音频数据集是迄今为止规模最大的SARS-CoV-2 PCR参比音频记录集合。在72,999名参与者中，有70,794人关联PCR结果，25,776例阳性病例中关联24,155例。45.62%的参与者报告存在呼吸道症状。该数据集在生物声学研究方面具有额外潜力：11.30%的参与者报告患有哮喘，27.20%的参与者关联了流感PCR检测结果。