Classifications of clinical depression detection using acoustic measures in Malay speakers

—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 depre...

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Main Authors:	Azam, Huda, Nik Hashim, Nik Nur Wahidah, Sediono, Wahju, Mukhtar, Firdaus, Ibrahim, Normala, Syed Mokhtar, Syarifah Suziah, Abdul Aziz, Salina
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2016
Subjects:	QP Physiology RF Otorhinolaryngology TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/56813/ http://irep.iium.edu.my/56813/ http://irep.iium.edu.my/56813/ http://irep.iium.edu.my/56813/1/56813_Classifications%20of%20clinical%20depression_complete.pdf http://irep.iium.edu.my/56813/13/56813_Classifications%20of%20clinical%20depression_SCOPUS.pdf

id	iium-56813
recordtype	eprints
spelling	iium-568132019-12-03T11:39:44Z http://irep.iium.edu.my/56813/ Classifications of clinical depression detection using acoustic measures in Malay speakers Azam, Huda Nik Hashim, Nik Nur Wahidah Sediono, Wahju Mukhtar, Firdaus Ibrahim, Normala Syed Mokhtar, Syarifah Suziah Abdul Aziz, Salina QP Physiology RF Otorhinolaryngology TK Electrical engineering. Electronics Nuclear engineering —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. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/56813/1/56813_Classifications%20of%20clinical%20depression_complete.pdf application/pdf en http://irep.iium.edu.my/56813/13/56813_Classifications%20of%20clinical%20depression_SCOPUS.pdf 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), 04 Dec - 08 Dec 2016, Hotel Pullman Kuala Lumpur. https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=37087 10.1109/IECBES.2016.7843521
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QP Physiology RF Otorhinolaryngology TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QP Physiology RF Otorhinolaryngology TK Electrical engineering. Electronics Nuclear engineering Azam, Huda Nik Hashim, Nik Nur Wahidah Sediono, Wahju Mukhtar, Firdaus Ibrahim, Normala Syed Mokhtar, Syarifah Suziah Abdul Aziz, Salina Classifications of clinical depression detection using acoustic measures in Malay speakers
description	—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.
format	Conference or Workshop Item
author	Azam, Huda Nik Hashim, Nik Nur Wahidah Sediono, Wahju Mukhtar, Firdaus Ibrahim, Normala Syed Mokhtar, Syarifah Suziah Abdul Aziz, Salina
author_facet	Azam, Huda Nik Hashim, Nik Nur Wahidah Sediono, Wahju Mukhtar, Firdaus Ibrahim, Normala Syed Mokhtar, Syarifah Suziah Abdul Aziz, Salina
author_sort	Azam, Huda
title	Classifications of clinical depression detection using acoustic measures in Malay speakers
title_short	Classifications of clinical depression detection using acoustic measures in Malay speakers
title_full	Classifications of clinical depression detection using acoustic measures in Malay speakers
title_fullStr	Classifications of clinical depression detection using acoustic measures in Malay speakers
title_full_unstemmed	Classifications of clinical depression detection using acoustic measures in Malay speakers
title_sort	classifications of clinical depression detection using acoustic measures in malay speakers
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2016
url	http://irep.iium.edu.my/56813/ http://irep.iium.edu.my/56813/ http://irep.iium.edu.my/56813/ http://irep.iium.edu.my/56813/1/56813_Classifications%20of%20clinical%20depression_complete.pdf http://irep.iium.edu.my/56813/13/56813_Classifications%20of%20clinical%20depression_SCOPUS.pdf
first_indexed	2023-09-18T21:20:12Z
last_indexed	2023-09-18T21:20:12Z
_version_	1777411831068884992

Classifications of clinical depression detection using acoustic measures in Malay speakers

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