The AI tool developed by researchers at the Sardar Vallabhbhai National Institute of Technology in Surat and Germany’s Rhenish University of Applied Science has shown promising results in detecting common cold symptoms by analyzing the tone of a person’s voice. By capturing variations in the voice spectrum and studying the vocal rhythms found in human speech, the researchers were able to analyze voice samples of 630 German people, 111 of whom had a cold. The researchers then used this data to develop a method to detect speech signals in a non-invasive manner.
According to a Business Insider report based on a feature by The Economist, the participants in the study were asked to count from one to 40, describe what they did on the weekend, and recite Aesop’s fable “The North Wind and the Sun.” The researchers found that the proposed features effectively captured the spectral difference between cold and non-cold speech, and could be utilized to automatically diagnose common cold and related disorders.
The study aims to develop a method that can identify a person with a common cold from their speech with fewer features and higher performance. The researchers believe that this feature could help people prevent the spread of viral infections and remotely monitor the health of a person with a common cold.
This technology has the potential to revolutionize the way people monitor their health and detect early symptoms of illnesses. If developed further, this tool could be used to diagnose other illnesses based on voice analysis, allowing for a more efficient and non-invasive method of detecting illnesses. However, further research is needed to determine the accuracy and reliability of this AI tool before it can be widely adopted as a diagnostic tool.