Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

A comparative study of different classifiers for detecting depression from spontaneous speech

Thumbnail Image

Date

2013

Authors

Alghowinem, Sharifa
Goecke, Roland
Wagner, Michael
Epps, Julian
Gedeon, Tamas (Tom)
Breakspear, Michael
Parker, Gordon

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Abstract

Accurate detection of depression from spontaneous speech could lead to an objective diagnostic aid to assist clinicians to better diagnose depression. Little thought has been given so far to which classifier performs best for this task. In this study, usi

Description

Keywords

Citation

URI

http://hdl.handle.net/1885/66411

Collections

ANU Research Publications

Source

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/ICASSP.2013.6639227

Restricted until

2037-12-31

Downloads

File
Description
01_Alghowinem_A_comparative_study_of_2013.pdf (173.52 KB)

DSpace software copyright © 2002-2026 LYRASIS

abcd