Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings

Research article (Alexandria Engineering Journal, 2021) · cited 49× · AI/ML
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Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings

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Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings. Retrieved May 24, 2026, from https://4ort.xyz/entity/pay-attention-to-the-speech-covid-19-diagnosis-using-machine-learning-and-crowdsourced-respiratory-and-speech-recordings
MLA “Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pay-attention-to-the-speech-covid-19-diagnosis-using-machine-learning-and-crowdsourced-respiratory-and-speech-recordings.
BibTeX @misc{4ortxyz_pay-attention-to-the-speech-covid-19-diagnosis-using-machine-learning-and-crowdsourced-respiratory-and-speech-recordings_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings}}, year = {2026}, url = {https://4ort.xyz/entity/pay-attention-to-the-speech-covid-19-diagnosis-using-machine-learning-and-crowdsourced-respiratory-and-speech-recordings}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings — https://4ort.xyz/entity/pay-attention-to-the-speech-covid-19-diagnosis-using-machine-learning-and-crowdsourced-respiratory-and-speech-recordings (retrieved 2026-05-24)

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