Medicine and Health

An automatic speech analytics program for digital assessment of stress burden and psychosocial health

A. M. Y. Chu, B. S. Y. Lam, et al.

Explore an innovative automatic speech analytics program (ASAP) that accurately assesses stress and psychosocial health among family caregivers. Researchers Amanda M. Y. Chu, Benson S. Y. Lam, Jenny T. Y. Tsang, Agnes Tiwari, Helina Yuk, Jacky N. L. Chan, and Mike K. P. So achieved a remarkable 72% accuracy in identifying stress levels. This technology presents a quicker and cost-effective solution for timely healthcare referrals.

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Abstract

This paper introduces an automatic speech analytics program (ASAP) designed to digitally assess stress burden and psychosocial health in family caregivers. The ASAP, utilizing speech analysis, achieved a 72% accuracy rate in identifying caregivers with high or low stress levels in a study of 100 Cantonese-speaking caregivers. This technology offers a cost-effective and efficient alternative to traditional assessment methods, enabling quicker identification of high-stress individuals for timely referral to healthcare professionals.

Publisher

npj Mental Health Research

Published On

Sep 13, 2023

Authors

Amanda M. Y. Chu, Benson S. Y. Lam, Jenny T. Y. Tsang, Agnes Tiwari, Helina Yuk, Jacky N. L. Chan, Mike K. P. So

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