| Paper Abstract and Keywords |
| Presentation |
Improving Accuracy of Voice-Based Mental Health Evaluation by Bayesian Inference.
Takeshi Takano, Yasuhiro Omiya, Uraguchi Tomotaka (PST), Masakazu Higuchi, Mitsuteru Nakamura, Shuji Shinohara, Shunji Mitsuyoshi (UTokyo), Taku Saito, Aihide Yoshino, Hiroyuki Toda (NDMC), Shinichi Tokuno (UTokyo) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Early detection of mental health malfunction is an issue in today's stressful modern era. We have developed MIMOSYS (Mind Monitoring System) which estimates human's mental health condition by voice. This technology has the advantage of being noninvasive and easy to measure. On the other hand, MIMOSYS has a property that the specificity is low at estimating mental health status from short-term speech. In this study, we collected speech data of patients with major depressive disorder, found the likelihood distribution of Vitality of mild and severe individuals, calculated the posterior probability using Bayes' theorem from Vitality which obtained from subject's utterance and estimated patients’ severity. As a result, it was confirmed that the separation performance improves more than Vitality itself. From the result, it was shown that it is possible to estimate mental health condition with high precision from short-term MIMOSYS data. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Voice / Pathophysiology / Distinguish / Major Depressive Disorder / / / / |
| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
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| Conference Information |
| Committee |
HCGSYMPO |
| Conference Date |
2018-12-12 - 2018-12-14 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Sinfonia Technology Hibiki Hall Ise |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Human Communication, etc. |
| Paper Information |
| Registration To |
HCGSYMPO |
| Conference Code |
2018-12-HCGSYMPO |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Improving Accuracy of Voice-Based Mental Health Evaluation by Bayesian Inference. |
| Sub Title (in English) |
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| Keyword(1) |
Voice |
| Keyword(2) |
Pathophysiology |
| Keyword(3) |
Distinguish |
| Keyword(4) |
Major Depressive Disorder |
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| 1st Author's Name |
Takeshi Takano |
| 1st Author's Affiliation |
PST Inc. (PST) |
| 2nd Author's Name |
Yasuhiro Omiya |
| 2nd Author's Affiliation |
PST Inc. (PST) |
| 3rd Author's Name |
Uraguchi Tomotaka |
| 3rd Author's Affiliation |
PST Inc. (PST) |
| 4th Author's Name |
Masakazu Higuchi |
| 4th Author's Affiliation |
the University of Tokyo (UTokyo) |
| 5th Author's Name |
Mitsuteru Nakamura |
| 5th Author's Affiliation |
the University of Tokyo (UTokyo) |
| 6th Author's Name |
Shuji Shinohara |
| 6th Author's Affiliation |
the University of Tokyo (UTokyo) |
| 7th Author's Name |
Shunji Mitsuyoshi |
| 7th Author's Affiliation |
the University of Tokyo (UTokyo) |
| 8th Author's Name |
Taku Saito |
| 8th Author's Affiliation |
National Defense Medical College (NDMC) |
| 9th Author's Name |
Aihide Yoshino |
| 9th Author's Affiliation |
National Defense Medical College (NDMC) |
| 10th Author's Name |
Hiroyuki Toda |
| 10th Author's Affiliation |
National Defense Medical College (NDMC) |
| 11th Author's Name |
Shinichi Tokuno |
| 11th Author's Affiliation |
the University of Tokyo (UTokyo) |
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| Speaker |
Author-1 |
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| Presentation Time |
minutes |
| Registration for |
HCGSYMPO |
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