Accuracy Evaluation for Mental Health Indicator Based on Vocal Analysis in Noisy Environments

Open Access

Abstract: Mental health care is one of the important challenges in our modern stressful society. The authors proposed a method for measuring mental health based on the quality of the patient’s voice, and implemented a system that monitors the state of mental health based on voice during a phone conversation via smartphone. However, there has been little consideration of the analysis of mental health using voices in a noisy environment thus far. Therefore, this study investigated the impact of noise on the mental health indicator based on vocal analysis. The results showed that the mental health level was judged to be low when the analyzed voice included noise. The study also revealed that a decreased precision in the detection of utterances had a significant impact on mental health analysis.

Keywords: Mental health care; noisy environment; vocal analysis

Masakazu Higuchi, Shuji Shinohara, Mitsuteru Nakamura, Yasuhiro Omiya, Naoki Hagiwara, Takeshi Takano, Shunji Mitsuyoshi, and Shinichi Tokuno

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The University of Tokyo, Japan

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Vol. 4, Issue 1

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