Acoustic features of voice in adults suffering from depression

Gordana Calić, Mirjana Petrović-Lazić, Tatjana Mentus, S. Babac
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Abstract

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.
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患有抑郁症的成年人声音的声学特征
为了检验抑郁症患者(EG, N=18)与健康对照组(CG1, N=24)和被诊断为心因性语音障碍的人(CG2, N=9)相比的差异,使用MDVP软件程序(“Kay Elemetrics”Corp.,模型4300)评估了51名参与者的9个语音声学特征。在元音/a/持续发声的基础上分析了9个声学参数。结果表明,与CG1和CG2相比,EG中所有声学参数的平均值存在以下差异:频率变异性参数(Jitt、PPQ)、幅度变异性参数(Shim、vAm、APQ)和噪声与震颤参数(NHR、VTI)更高;只有基频(F0)和软指数发声(SPI)参数较低(F0与CG1相比,SPI与CG1和CG2相比)。只有PPQ参数不显著。vAm和APQ对抑郁症的判别值最高。语音的声学特征,在本研究中分析了一个元音的持续发声,在EG中与CG1和CG2相比是不同的和有区别的。在语音分析中,参数vAm和APQ可能是抑郁症的潜在标志。这项研究的结果指出了声音的重要性,即它的声学指标,在识别抑郁症。那些来自声音强度变化领域的重要参数可以帮助创建一个自动识别抑郁症的程序。
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6
审稿时长
4 weeks
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