Keyword Search:


Bookmark and Share

Classifications of clinical depression detection using acoustic measures in Malay speakers

Azam, Huda and Nik Hashim, Nik Nur Wahidah and Sediono, Wahju and Mukhtar, Firdaus and Ibrahim, Normala and Syed Mokhtar, Syarifah Suziah and Abdul Aziz, Salina (2016) Classifications of clinical depression detection using acoustic measures in Malay speakers. In: 2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 4-8 Dec. 2016, Kuala Lumpur, Malaysia. pp. 606-610.

[img] PDF (Abstract)
33Kb

Abstract

Objective screening mechanism using paralinguistic cues to enhance current diagnostic on detecting depression is desirable, which resulted in the rise of research on this area. However, to date, there has been no research done using dataset of Malay speakers. This paper presented an acoustic depression detection classification using Linear and Quadratic Discriminant analysis with transition parameters and power spectral density as the acoustic features. Among the two features, power spectral density performed better, especially with the combination of band 1, 2 and 3 for both male and female data. As for the Transition parameters, we found that unvoiced feature performed best overall for both male and female.

Item Type:Conference or Workshop Item (Paper)
Keyword:Clinical depression; Discrimant analysis; Power spectral density; Transition parameter
Faculty or Institute:Faculty of Medicine and Health Science
Publisher:IEEE
DOI Number:10.1109/IECBES.2016.7843521
Altmetrics:http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/IECBES.2016.7843521
ID Code:55964
Deposited By: Nabilah Mustapa
Deposited On:03 Jul 2017 17:26
Last Modified:03 Jul 2017 17:26

Repository Staff Only: Edit item detail

Document Download Statistics

This item has been downloaded for since 03 Jul 2017 17:26.

View statistics for "Classifications of clinical depression detection using acoustic measures in Malay speakers"