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...
| Main Authors: | , , , , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2016
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848784811539300352 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:43:11Z |
| format | Proceeding Paper |
| id | iium-56813 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:43:11Z |
| publishDate | 2016 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | Classifications of clinical depression detection using acoustic measures in Malay speakers |
| title_sort | classifications of clinical depression detection using acoustic measures in malay speakers |
| topic | QP Physiology RF Otorhinolaryngology TK Electrical engineering. Electronics Nuclear engineering |
| 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 |