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

Shuji Shinohara, Mitsuteru Nakamura, Yasuhiro Omiya, Masakazu Higuchi, Naoki Hagiwara, Shunji Mitsuyoshi, Hiroyuki Toda, Taku Saito, Masaaki Tanichi, Aihide Yoshino and Shinichi Tokuno
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Shuji Shinohara: Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Mitsuteru Nakamura: Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Yasuhiro Omiya: PST Inc., Yokohama 231-0023, Japan
Masakazu Higuchi: Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Naoki Hagiwara: AGI Inc., Tokyo 113-8655, Japan
Shunji Mitsuyoshi: Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Hiroyuki Toda: Department of Psychiatry, National Defense Medical College, Tokorozawa 359-8513, Japan
Taku Saito: Department of Psychiatry, National Defense Medical College, Tokorozawa 359-8513, Japan
Masaaki Tanichi: Department of Psychiatry, National Defense Medical College, Tokorozawa 359-8513, Japan
Aihide Yoshino: Department of Psychiatry, National Defense Medical College, Tokorozawa 359-8513, Japan
Shinichi Tokuno: Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan

IJERPH, 2021, vol. 18, issue 10, 1-12

Abstract: 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).

Keywords: mood disorder assessment; vitality; mental activity; voice index; emotion analysis; noninvasiveness (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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