Voice Acoustic Parameters as Predictors of Depression

Silva, Wegina Jordana; Lopes, Leonardo Wanderley; Galdino, Melyssa Kellyane Cavalcanti; Almeida, Anna Alice

doi:10.1016/j.jvoice.2021.06.018

Cited by 26 publications

(28 citation statements)

References 35 publications

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“…The EG had lower mean values in F0 compared to CG1 and higher compared to CG2. This is in accordance with numerous studies indicating that F0 is lower in depression (Mundt et al, 2007;Mundt et al, 2012;Silva et al, 2021;Wang et al, 2019). The fundamental frequency of voice refers to the number of vibration cycles in one second (the frequency at which vocal cords open and close).…”

Section: Discussionsupporting

confidence: 92%

“…Most research studies show that the value of the Jitter parameter is higher in people suffering from depression (Nunes et al, 2010;Sahu & Espy-Wilson, 2016;Silva et al, 2021). The same is true for the Shimmer parameter (Sahu & Espy-Wilson, 2016;Silva et al, 2021), while in some studies, Shimmer was lower when analysing the voice in sadness (Nunes et al, 2010). Ozdas et al (2004) point out that the increase in Jitter and glottal spectral tilt could be the acoustic features distinguishing between people with depression, suicidal people, and the control group.…”

Section: Depression and Acoustic Features Of Voicementioning

confidence: 97%

“…However, there is a discrepancy in determining the most suitable speech task for detecting depression. For example, according to some findings, acoustic features analysed on the basis of text reading have a high predictive value for depression measured by the Hamilton scale (Hashim et al, 2017) and, in others, those are acoustic features analysed on the basis of sound phonation for the Beck depression inventory (Silva et al, 2021).…”

Section: Depression and Acoustic Features Of Voicementioning

confidence: 99%

“…Most studies have examined the mean values of F0 and its deviations. Numerous studies indicate a smaller range of F0 variability in participants with depression, which, according to some authors, points to monotonous speech (Ellgring & Scherer, 1996;Moore et al, 2004;Mundt et al, 2007;Nilsonne, 1988;Silva et al, 2021). Several studies show that the mean value of F0 is lower in people with depression than in the typical control group (Mundt et al, 2007;Mundt et al, 2012;Wang et al, 2019), as well as that F0 decreases with the degree of depression severity (Yang et al, 2013).…”

Section: Depression and Acoustic Features Of Voicementioning

confidence: 99%

“…Nilsonne suggests that smaller changes in F0 in the participants with depression compared to the control group could be the basic difference between these two groups of participants (Nilsonne, 1988). Most research studies show that the value of the Jitter parameter is higher in people suffering from depression (Nunes et al, 2010;Sahu & Espy-Wilson, 2016;Silva et al, 2021). The same is true for the Shimmer parameter (Sahu & Espy-Wilson, 2016;Silva et al, 2021), while in some studies, Shimmer was lower when analysing the voice in sadness (Nunes et al, 2010).…”

Section: Depression and Acoustic Features Of Voicementioning

confidence: 99%

See 4 more Smart Citations

Acoustic features of voice in adults suffering from depression

Calić¹,

Petrović-Lazić²,

Mentus³

et al. 2022

Psihol istraživanja

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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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Section: Discussionsupporting

confidence: 92%

Section: Depression and Acoustic Features Of Voicementioning

confidence: 97%

Section: Depression and Acoustic Features Of Voicementioning

confidence: 99%

Section: Depression and Acoustic Features Of Voicementioning

confidence: 99%

Section: Depression and Acoustic Features Of Voicementioning

confidence: 99%

See 3 more Smart Citations

Acoustic features of voice in adults suffering from depression

Calić¹,

Petrović-Lazić²,

Mentus³

et al. 2022

Psihol istraživanja

View full text Add to dashboard Cite

show abstract

Relationship Between Voice Problems and Depression Among American Adults

Lee,

Bonilha,

Hong

2024

Otolaryngol.--head neck surg.

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ObjectiveVoice problems have a large impact on quality‐of‐life and societal participation. It has been previously reported that persons with voice problems have a higher likelihood of depression than those without voice problems. Despite this knowledge, little has changed in clinical practice related to screening for depression or incorporating the presence of depression in treatment planning. This study aims to provide an updated analysis of the prevalence of depressive symptoms in persons with voice disorders to elucidate the current magnitude of the relationship in hopes that this will provoke greater awareness of the co‐occurrence of voice problems and depression and improve clinical care.Study DesignCross‐sectional design with a national survey.SettingNone.MethodsThe study examined the 23,706 adults from the 2022 National Health Interview Survey database. A series of logistic regression models with propensity score matching approaches were used to examine the association between voice problems and depression by accounting for demographics and health conditions.ResultsWhen comparing persons with and without voice problems, there were statistical differences in demographics and health conditions (all P < .05); however, those differences were balanced by propensity score matching methods (all P > .05). The balanced samples revealed that those with voice problems were approximately twice as likely to experience depressive symptoms (odds ratios ranged from 1.532 to 2.024, all P < .05) compared to those without voice problems. Depressive symptoms increased with the severity (P < .0001) and duration of the voice problem (P = .0328).ConclusionThe study found robust associations between voice problems and depression within the current American adult population in 2022. To achieve optimal treatment outcomes, it is critical that the co‐occurrence of voice problems and depression is understood, and that treatment planning addressed both conditions, when applicable.

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Vocal Emotional Expressions in Mothers with and without a History of Major Depressive Disorder

Ilyaz,

Feng,

et al. 2024

J Nonverbal Behav

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Voice Acoustic Parameters as Predictors of Depression

Cited by 26 publications

References 35 publications

Acoustic features of voice in adults suffering from depression

Acoustic features of voice in adults suffering from depression

Relationship Between Voice Problems and Depression Among American Adults

Vocal Emotional Expressions in Mothers with and without a History of Major Depressive Disorder

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