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, Shinichi Tokuno

Research output: Contribution to journalArticlepeer-review

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).

Original languageEnglish (US)
Article number5435
JournalInternational Journal of Environmental Research and Public Health
Volume18
Issue number10
DOIs
StatePublished - May 2 2021
Externally publishedYes

Keywords

  • Emotion analysis
  • Mental activity
  • Mood disorder assessment
  • Noninvasiveness
  • Vitality
  • Voice index

ASJC Scopus subject areas

  • Pollution
  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Fingerprint

Dive into the research topics of 'Depressive mood assessment method based on emotion level derived from voice: comparison of voice features of individuals with major depressive disorders and healthy controls'. Together they form a unique fingerprint.

Cite this