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Voice will betray depression

23.07.2019

Computer science researchers at the University of Alberta, Canada, have taught artificial intelligence to more accurately identify a depressed person by the way their voice sounds. Scientists plan to develop a mobile application based on this technology that will help track mood in real time, the university website says.

The work of Canadian scientists is based on past research, which shows that the timbre of our voice contains information about our mood. Using standard reference datasets, the researchers developed a methodology that combines several machine learning algorithms to more accurately recognize depression using acoustic signals.

"A realistic scenario would be for people to use an app that would collect voice samples when they speak naturally. An app on the user's phone would recognize and track mood indicators (such as depression) over time," notes one authors of the development, Professor Eleni Struliya.

Such a "mood pedometer" could help people reflect on their own moods over time and provide accurate data on changes in a patient's emotional state to their doctor.

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