Use of Conversation and Acoustic Signals in Measuring Depression Severity
NCT00831935 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 89
Last updated 2013-04-08
Summary
The purpose of this study is to test a new monitoring technology that uses the sound of a depressed person's speech to assess the severity of depression symptoms. The Vocal Social Signals Platform (VSSP) is software that analyzes the non-verbal characteristics of a person's speech. This study will test this software to see if it could be a useful measurement tool for assessing depression symptoms. Participation in this study requires coming to the research headquarters twice over a three-month period. The first visit is to determine eligibility. Throughout the study, participants will be connected to a telephone system five times, on which they will answer questions about their depression symptoms. After answering questions, their voice will be recorded using a structured speech sample that the participant will read out loud. The participant will also give an unstructured speech sample, which will involve describing a typical day or the last movie s/he saw. The voice samples will be analyzed and compared to the results of the depression symptom questionnaires.
Conditions
Sponsors & Collaborators
-
Boston Medical Center
lead OTHER
Principal Investigators
-
Ramesh Farzanfar, Ph.D · Boston University
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2009-01-31
- Primary Completion
- 2011-06-30
- Completion
- 2011-06-30
Countries
- United States
Study Locations
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