著者

Mariana RODRIGUES MAKIUCHI Tifani WARNITA Nakamasa INOUE Koichi SHINODA Michitaka YOSHIMURA Momoko KITAZAWA Kei FUNAKI Yoko EGUCHI Taishiro KISHIMOTO

出版者

The Institute of Electronics, Information and Communication Engineers

雑誌

IEICE Transactions on Information and Systems (ISSN:09168532)

巻号頁・発行日

vol.E104.D, no.11, pp.1930-1940, 2021-11-01 (Released:2021-11-01)

参考文献数

71

被引用文献数

6

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We propose a non-invasive and cost-effective method to automatically detect dementia by utilizing solely speech audio data. We extract paralinguistic features for a short speech segment and use Gated Convolutional Neural Networks (GCNN) to classify it into dementia or healthy. We evaluate our method on the Pitt Corpus and on our own dataset, the PROMPT Database. Our method yields the accuracy of 73.1% on the Pitt Corpus using an average of 114 seconds of speech data. In the PROMPT Database, our method yields the accuracy of 74.7% using 4 seconds of speech data and it improves to 80.8% when we use all the patient's speech data. Furthermore, we evaluate our method on a three-class classification problem in which we included the Mild Cognitive Impairment (MCI) class and achieved the accuracy of 60.6% with 40 seconds of speech data.

著者

岸本 泰士郎 吉村 道孝 北沢 桃子 榊原 康文 江口 洋子 藤田 卓仙 三村 將 Taishiro Kishimoto Michitaka Yoshimura Momoko Kitazawa Yasubumi Sakakibara Yoko Eguchi Takanori Fujita Masaru Mimura

雑誌

SIG-AIMED = SIG-AIMED

巻号頁・発行日

vol.001, 2015-09-29

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Most of the severity ratings are assessed through interview with patients in psychiatric filed. Such severity ratings sometimes lack objectivity that can lead to the delay/misjudgment of the treatment initiation/switch. A new technology which enables us to objectively quantify patients’ severity is needed. We here aim to develop a new device that analyzes patients’ facial expression, voice, and daily activities, and provides us with objective severity evaluation using machine learning technology. This study project was accepted by Japan Agency for Medical Research and Development (AMED) and will launch this year. The background of the study purpose and methods will be presented.