Ever since tools like Open-AI’s Chat-GPT, Google’s Bard, and Microsoft’s new Bing swept the globe, artificial intelligence has become a hot topic. Artificial intelligence is being used in ever-newer ways, and people are thoroughly investigating this new technology. And now there are rumours that some scientists can tell if someone is sick by the tone of their voice.
According to reports, researchers have figured out what a caller who is ill or exhibiting cold symptoms sounds like and have utilised this information to teach AI how to distinguish between healthy and sick people.
Researchers reviewed recordings of almost 630 distinct individuals for the study, including 111 cold-infected individuals. The vocal rhythms found in human speech, which can be distinguished as harmonics that become weaker as frequency increases, were used by researchers at the Sardar Vallabhbhai National Institute of Technology.
A wave that is a positive integral multiple of the original frequency is said to be harmonic. A string, air column, or other object vibrating at an exact fraction of its length creates an overtone.
An algorithm was created that can recognise the particular frequencies that are present in sore throat sufferers. According to a piece in The Economist, Pankaj Warule, an electronic engineer, oversaw the study that sought to determine precisely how a “cold voice” differed from a healthy voice.
The main finding of the study was that musical instruments and human speech do not both emit sounds at a single frequency. Researchers used machine learning algorithms to detect and analyse the changes in amplification to determine who has a cold in order to determine whether the presence of a cold infection affects how attenuation occurs.
In 70% of cases throughout the research, the technology could identify a cold. Researchers dissected each participant’s speech into its spectrum of wavelengths to determine the dominant frequency and the harmonics in each case.
We may anticipate that a number of businesses and organisations will apply this algorithm to prevent employees from inventing illnesses in order to avoid going to work given the speed at which technology is developing.
