دورية أكاديمية
Acoustic features of voice in adults suffering from depression
| العنوان: | Acoustic features of voice in adults suffering from depression |
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| المؤلفون: | Calić Gordana, Petrović-Lazić Mirjana, Mentus Tatjana, Babac Snežana |
| المصدر: | Psihološka Istraživanja, Vol 25, Iss 2, Pp 183-203 (2022) |
| بيانات النشر: | University of Belgrade, Faculty of Philosophy, Institute of Psychology, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Psychology |
| مصطلحات موضوعية: | acoustic features, vowel, depression, voice disorder, voice analysis, Psychology, BF1-990 |
| الوصف: | In order to examine the differences in people suffering from depression (EG, N=18) compared to the healthy controls (CG1, N=24) and people with the diagnosed psychogenic voice disorder (CG2, N=9), nine acoustic features of voice were assessed among the total of 51 participants using the MDVP software programme ("Kay Elemetrics" Corp., model 4300). Nine acoustic parameters were analysed on the basis of the sustained phonation of the vowel /a/. The results revealed that the mean values of all acoustic parameters differed in the EG compared to both the CG1 and CG2 as follows: the parameters which indicate frequency variability (Jitt, PPQ), amplitude variability (Shim, vAm, APQ) and noise and tremor parameters (NHR, VTI) were higher; only the parameters of fundamental frequency (F0) and soft index phonation (SPI) were lower (F0 compared to CG1, and SPI compared to CG1 and CG2). Only the PPQ parameter was not significant. vAm and APQ had the highest discriminant value for depression. The acoustic features of voice, analysed in this study with regard to the sustained phonation of a vowel, were different and discriminant in the EG compared to CG1 and CG2. In voice analysis, the parameters vAm and APQ could potentially be the markers indicative of depression. The results of this research point to the importance of the voice, that is, its acoustic indicators, in recognizing depression. Important parameters that could help create a programme for the automatic recognition of depression are those from the domain of voice intensity variation. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Serbian |
| تدمد: | 0352-7379 2560-306X |
| العلاقة: | https://scindeks-clanci.ceon.rs/data/pdf/0352-7379/2022/0352-73792202183C.pdfTest; https://doaj.org/toc/0352-7379Test; https://doaj.org/toc/2560-306XTest |
| الوصول الحر: | https://doaj.org/article/1cc90579955345b69a97681698857ab1Test |
| رقم الانضمام: | edsdoj.1cc90579955345b69a97681698857ab1 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 03527379 2560306X |
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