Modifications in Voice Biomarkers Allowing for More Precise Decoding of Human Emotions
Voice biomarkers has been the buzzword in the healthcare industry, promising to revolutionize the way diseases and health conditions are diagnosed. In June 2017, this voice decoding technique was further modified and now is adept at decoding human emotions and detecting depression with a higher level of accuracy.
It all began when academic researchers used IBM’s Watson AI supercomputer to predict psychotic disorders in patients, by simply decoding their speech patterns. On similar lines, the US Army partnered with MIT researchers to develop an FDA-approved device that detects brain injuries.
Researchers designed the technology to enable analysis of voice samples to identify and list a range of mental and physical medical concerns based on subtle alterations in auditory characteristics of the speaker’s voice.
“The ability to help recognize early signs of psychiatric illness and monitor treatment responses on devices that people already own is an important step in moving from reactive to preventive care,” said Dr. Aimee Danielson from Georgetown University Hospital. “This would be particularly useful in conditions that are chronically underdiagnosed, like perinatal mood and anxiety disorders, including postpartum depression.”
Cogito—a company is developing a voice analysis app—is being used by the US Department of Veterans Affairs to observe the mood of their service members.
Voice biomarker is presently being used to monitor patients suffering from bipolar disorder and depression. These systems analyse the voice samples of patients to detect depression symptoms.
This vocal decoder has made diagnosis more accurate, cost effective and faster than ever before. Given its highly non-intrusive nature, the technology is expected to gain rapid traction in the near future. Also, patients can use these systems in home settings to make an early diagnosis of various underlying mental conditions and accordingly opt for preventive measures or treatment.
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