Voice samples will be used to build an AI algorithm to detect subsyndromal depression.
SINGAPORE – Researchers aim to detect and manage early signs of depression among seniors through voice analysis, as part of a three-year study and pilot programme that uses artificial intelligence .
In Singapore, past research showed that around 13.4 per cent of seniors over 60 experienced SSD, though this figure is likely underestimated due to reliance on self-reported assessments, the agencies said on Oct 16. When at least 630 voice samples have been collected, the AI voice biomarker will have enough data to provide an indication of the state of a patient’s mental health relating to SSD.
Shallow or irregular breathing, commonly seen in patients with anxiety, can affect vocal projection and clarity. Insomnia can lead to difficulty in concentrating, affecting speech rate, fluency and articulation. After the voice analysis, participants identified with SSD will be referred to a 24-week community intervention programme developed in collaboration with IMH and social service agencies.
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