AI algorithms can now more precisely detect depressed mood using the sound of your voice, reports a new study. The findings of the study are presented at the Canadian Conference on Artificial Intelligence.// India, the sixth most depressed country in the world, has an estimated 56 million people suffering from depression and 38 million from anxiety disorders, according to a recent report by the World Health Organisation (WHO).
‘New machine learning technology can identify depression through vocal cues.’To help identify depression early, scientists have now enhanced a technology that uses Artificial Intelligence (AI) to sift through the sound of your voice to gauge whether you are depressed or not.
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Computing science researchers from the University of Alberta in Canada have improved technology for identifying depression through vocal cues.
The study, conducted by Mashrura Tasnim and Professor Eleni Stroulia, builds on past research that suggests that the timbre of our voice contains information about our mood.
Using standard benchmark data sets, Tasnim and Stroulia developed a methodology that combines several Machine Learning (ML) algorithms to recognize depression more accurately using acoustic cues.
A realistic scenario is to have people use an app that will collect voice samples as they speak naturally.
The WHO ranks depression as the single largest contributor to global disability. It is also the major contributor to suicide deaths.
Such a tool could prove useful to support work with care providers or to help individuals reflect on their own moods over time.
"This work, developing more accurate detection in standard benchmark data sets, is the first step," added Stroulia while presenting the paper at the Canadian Conference on Artificial Intelligence recently.