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 depress...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/55964/ http://psasir.upm.edu.my/id/eprint/55964/1/Classifications%20of%20clinical%20depression%20detection%20using%20acoustic%20measures%20in%20Malay%20speakers.pdf |
| _version_ | 1848852949044822016 |
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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 | UPM Institutional 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 | 2025-11-15T10:46:12Z |
| format | Conference or Workshop Item |
| id | upm-55964 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:46:12Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-559642017-07-03T09:26:26Z http://psasir.upm.edu.my/id/eprint/55964/ 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 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. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/55964/1/Classifications%20of%20clinical%20depression%20detection%20using%20acoustic%20measures%20in%20Malay%20speakers.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), 4-8 Dec. 2016, Kuala Lumpur, Malaysia. (pp. 606-610). 10.1109/IECBES.2016.7843521 |
| spellingShingle | 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 |
| url | http://psasir.upm.edu.my/id/eprint/55964/ http://psasir.upm.edu.my/id/eprint/55964/ http://psasir.upm.edu.my/id/eprint/55964/1/Classifications%20of%20clinical%20depression%20detection%20using%20acoustic%20measures%20in%20Malay%20speakers.pdf |