COVID-19 Voice Detector

What is COVID-19 Voice Detector?

This experimental AI-powered system aims to detect signatures of COVID-19 infection through the analysis of human voice. Developed through a collaborative effort involving Carnegie Mellon University and several technology partners, this innovative approach seeks to leverage voice data as a potential early indicator of the viral disease. The system requires a substantial collection of voice samples from diverse participants, including those affected by COVID-19, healthy individuals, and people with other medical conditions. By gathering this comprehensive dataset, the researchers hope to train the AI model to identify unique vocal patterns that could aid in the early detection and monitoring of COVID-19 infections

Highlights

• Voice-based detection of COVID-19 signatures
• Collaborative development with leading research institutions
• Needs a large dataset of voice samples from various health states
• Potential for early and automated identification of COVID-19 infections
• Non-invasive, accessible, and scalable approach to supplement existing testing methods