Fast and accurate assessment of depression based on voice acoustic features: a cross-sectional and longitudinal study

Yang Wang, Lijuan Liang, Zhongguo Zhang, Xiao Xu, Rongxun Liu, Hanzheng Fang, Ran Zhang, Yange Wei, Zhongchun Liu, Rongxin Zhu,

Frontiers in Psychiatry · 2023 · 23 citations · 38 references

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Abstract

Voice acoustic features can effectively and rapidly predict the severity of depression, providing a low-cost and efficient method for screening patients with depression on a large scale. Our study also identified potential acoustic features that may be significantly related to specific treatment options for depression.

References

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