Using speech recognition technology to investigate the association between timing-related speech features and depression severity.

ABSTRACT:

Background

There are no reliable and validated objective biomarkers for the assessment of depression severity. We aimed to investigate the association between depression severity and timing-related speech features using speech recognition technology.

Method

Patients with major depressive disorder (MDD), those with bipolar disorder (BP), and healthy controls (HC) were asked to engage in a non-structured interview with research psychologists. Using automated speech recognition technology, we measured three timing-related speech features: speech rate, pause time, and response time. The severity of depression was assessed using the Hamilton Depression Rating Scale 17-item version (HAMD-17). We conducted the current study to answer the following questions: 1) Are there difference

SUBMITTER: Yamamoto M 

PROVIDER: S-EPMC7485753 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature