Corona Voice Detect
Corona Voice Detect: Open-Source COVID-19 Symptom Detection Software
Discover Corona Voice Detect, an open-source software utilizing voice and speech recognition to identify COVID-19 symptoms, analyzing coughs, vocal strain, and shortness of breath.
What is Corona Voice Detect?
Corona Voice Detect is an open-source software project that aims to help assess COVID-19 symptoms and risk using voice and speech analysis. It uses advanced machine learning algorithms to analyze voice recordings for indicators of respiratory illness like coughing, sneezing, vocal strain, and shortness of breath.
Users can record a short voice sample on their phone or computer and upload it to the Corona Voice Detect web interface. The software extracts acoustic features related to respiratory function from the voice and compares them to a reference dataset to estimate disease likelihood and severity.
Some key capabilities of Corona Voice Detect include:
- Detecting presence of coughing or sneezing in voice
- Assessing voice quality changes like raspiness, hoarseness, or slurred speech
- Measuring shortness of breath and respiratory rate estimation
- Providing a risk score estimate for likelihood of COVID-19 infection
The risk estimate is presented through an easy to understand score and visual graph. Users also have the option to re-take the test if symptoms evolve over time. The software is optimized to work in low-resource contexts with just a phone and internet connection.
As an open source initiative, Corona Voice Detect aims for transparency in development. The code and methodology is open to examination and improvement from the research community. Data privacy protections are also built-in to ensure voice data is kept secure.
Corona Voice Detect Features
Features
- Uses voice/speech recognition and AI to detect COVID-19 symptoms
- Analyzes voice recordings for markers like coughing, vocal strain, shortness of breath
- Provides risk assessment based on analysis
- Open-source software
Pricing
- Open Source
Pros
Cons
Official Links
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