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ALEXA, DO I HAVE COVID-19?

NATURE (2020)

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Article Computer Science, Artificial Intelligence

Investigation of Speech Landmark Patterns for Depression Detection

Zhaocheng Huang et al.

Summary: This article proposes two feature sets associated with speech articulation events that are effective in discriminating depressed from non-depressed speakers. The experiments show that these features can be tailored to capture different articulatory aspects of depressed voices and are highly effective.

IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2022)

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Article Psychology, Clinical