Evaluation of the Severity of Major Depression Using a Voice Index for Emotional Arousal.

Recently, the relationship between emotional arousal and depression has been studied. Focusing on this relationship, we first developed an arousal level voice index (ALVI) to measure arousal levels using the Interactive Emotional Dyadic Motion Capture database. Then, we calculated ALVI from the voices of depressed patients from two hospitals (Ginza Taimei Clinic (H1) and National Defense Medical College hospital (H2)) and compared them with the severity of depression as measured by the Hamilton Rating Scale for Depression (HAM-D). Depending on the HAM-D score, the datasets were classified into a no depression (HAM-D < 8) and a depression group (HAM-D ≥ 8) for each hospital. A comparison of the mean ALVI between the groups was performed using the Wilcoxon rank-sum test and a significant difference at the level of 10% (p = 0.094) at H1 and 1% (p = 0.0038) at H2 was determined. The area under the curve (AUC) of the receiver operating characteristic was 0.66 when categorizing between the two groups for H1, and the AUC for H2 was 0.70. The relationship between arousal level and depression severity was indirectly suggested via the ALVI.

Translation, Validity, and Reliability of the Persian Version of the Aging Voice Index.

OBJECTIVES: The Aging Voice Index (AVI) was developed to study quality of life in older adults with voice disorders. The purpose of this study was to translate the original English version of the AVI to Persian version of Aging Voice Index (P-AVI) and validate the P-AVI for the Persian-speaking older adults with voice disorders. METHODS: A cross-sectional, descriptive, and methodological study was performed to translate and validate the Persian version of the AVI. The translation was performed in accordance with recommendations from the World Health Organization. Eighty-five treatment-seeking patients with voice disorders and 20 older adults without voice complaints were recruited for this study. Psychometric properties were investigated, including: different types of validity (content validity, construct validity, and criterion-related validity), reliability (test-retest and internal consistency), and item analysis of the Persian version of AVI. The relationship between total score of P-AVI and age, sex, and voice pathology were determined using multiple linear regression. RESULTS: A panel of three speech pathologists performed the content validity of the P-AVI and reached agreement on all of the items. Construct validity was confirmed by a significant difference in the mean of total score of the P-AVI was identified between the particiapnts with voice disorders and those with no voice complaints (P < 0.001). There was high correlation between the total scores of the participants in the Persian version of the AVI and the Persian version of the voice-related quality of life (r = 0.86, P < 0.001). All reliability measures were found to be good with scores higher than 0.8. To assess the need for item reduction, a Cronbach's alpha coefficient remained constant with the elimination of each item; therefore, all no items were removed. Age and voice pathology were not predictive for the total P-AVI score, but a weak effect was identified for sex and the total score of P-AVI (F = 18.75, P < 0.001) with an R2 of 0.21. CONCLUSIONS: The Persian version of AVI is a valid and reliable questionnaire designed specifically for older adults that speech-language pathologists and otolaryngologists can use to objectively assess the impact of voice disorders in aging Persian-speaking patients.

Depressive Mood Assessment Method Based on Emotion Level Derived from Voice: Comparison of Voice Features of Individuals with Major Depressive Disorders and Healthy Controls.

BACKGROUND: In many developed countries, mood disorders have become problematic, and the economic loss due to treatment costs and interference with work is immeasurable. Therefore, a simple technique to determine individuals' depressive state and stress level is desired. METHODS: We developed a method to assess specific the psychological issues of individuals with major depressive disorders using emotional components contained in their voice. We propose two indices: vitality, a short-term index, and mental activity, a long-term index capturing trends in vitality. To evaluate our method, we used the voices of healthy individuals (n = 14) and patients with major depression (n = 30). The patients were also assessed by specialists using the Hamilton Rating Scale for Depression (HAM-D). RESULTS: A significant negative correlation existed between the vitality extracted from the voices and HAM-D scores (r = -0.33, p < 0.05). Furthermore, we could discriminate the voice data of healthy individuals and patients with depression with a high accuracy using the vitality indicator (p = 0.0085, area under the curve of the receiver operating characteristic curve = 0.76).