Vocal modulation features in the prediction of major depressive disorder severity
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
Main Author: | Horwitz-Martin, Rachelle (Rachelle Laura) |
---|---|
Other Authors: | Thomas F. Quatieri. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2015
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/93072 |
Similar Items
-
Acoustic features of impaired articulation due to amyotrophic lateral sclerosis
by: Horwitz-Martin, Rachelle L. (Rachelle Laura)
Published: (2018) -
Characterization of phoneme rate as a vocal biomarker of depression
by: Ciccarelli, Gregory Alan
Published: (2017) -
Classification of major depressive disorder using functional connectome data
by: Tan, Jia Jun
Published: (2019) -
Predictors of recurrence of major depressive disorder
by: Lye, Munn Sann, et al.
Published: (2020) -
Phonologically-based biomarkers for major depressive disorder
by: Trevino, Andrea Carolina, et al.
Published: (2012)