Easy detection of rare dementia based on speech analysis

Shunya Hanai; Shohei Kato; Koichi Sakaguchi; Takuto Sakuma; Reiko Ohdake; Michihito Masuda; Hirohisa Watanabe

doi:10.1109/GCCE50665.2020.9291793

Easy detection of rare dementia based on speech analysis

Shunya Hanai, Shohei Kato, Koichi Sakaguchi, Takuto Sakuma, Reiko Ohdake, Michihito Masuda, Hirohisa Watanabe

Neurology & Neuroscience

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The increase in the number of dementia patients is a serious problem in developed countries. It is important to diagnose an underlying disease correctly because dementia has treatments depending on the disease. We have been investigating frontotemporal lobar degeneration (FTLD), which is one of the underlying diseases. This paper presents a speech analysis-based FTLD screening system. We used speech features to classify FTLD, Alzheimer's disease (AD) and HC. We confirmed that our method can classify three groups with accuracy of 0.81 and macro F-measure of 0.74. Our screening system has the potential to detect FTLD through short speech.

Original language	English
Title of host publication	2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	954-956
Number of pages	3
ISBN (Electronic)	9781728198026
DOIs	https://doi.org/10.1109/GCCE50665.2020.9291793
Publication status	Published - 13-10-2020
Event	9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan Duration: 13-10-2020 → 16-10-2020

Publication series

Name	2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference	9th IEEE Global Conference on Consumer Electronics, GCCE 2020
Country/Territory	Japan
City	Kobe
Period	13-10-20 → 16-10-20

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering
Media Technology
Instrumentation
Computer Networks and Communications
Computer Vision and Pattern Recognition

Access to Document

10.1109/GCCE50665.2020.9291793

Cite this

Hanai, S., Kato, S., Sakaguchi, K., Sakuma, T., Ohdake, R., Masuda, M., & Watanabe, H. (2020). Easy detection of rare dementia based on speech analysis. In 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020 (pp. 954-956). Article 9291793 (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE50665.2020.9291793

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title = "Easy detection of rare dementia based on speech analysis",

abstract = "The increase in the number of dementia patients is a serious problem in developed countries. It is important to diagnose an underlying disease correctly because dementia has treatments depending on the disease. We have been investigating frontotemporal lobar degeneration (FTLD), which is one of the underlying diseases. This paper presents a speech analysis-based FTLD screening system. We used speech features to classify FTLD, Alzheimer's disease (AD) and HC. We confirmed that our method can classify three groups with accuracy of 0.81 and macro F-measure of 0.74. Our screening system has the potential to detect FTLD through short speech.",

author = "Shunya Hanai and Shohei Kato and Koichi Sakaguchi and Takuto Sakuma and Reiko Ohdake and Michihito Masuda and Hirohisa Watanabe",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 9th IEEE Global Conference on Consumer Electronics, GCCE 2020 ; Conference date: 13-10-2020 Through 16-10-2020",

year = "2020",

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doi = "10.1109/GCCE50665.2020.9291793",

language = "English",

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Hanai, S, Kato, S, Sakaguchi, K, Sakuma, T, Ohdake, R, Masuda, M & Watanabe, H 2020, Easy detection of rare dementia based on speech analysis. in 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020., 9291793, 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020, Institute of Electrical and Electronics Engineers Inc., pp. 954-956, 9th IEEE Global Conference on Consumer Electronics, GCCE 2020, Kobe, Japan, 13-10-20. https://doi.org/10.1109/GCCE50665.2020.9291793

Easy detection of rare dementia based on speech analysis. / Hanai, Shunya; Kato, Shohei; Sakaguchi, Koichi et al.
2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 954-956 9291793 (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Easy detection of rare dementia based on speech analysis

AU - Hanai, Shunya

AU - Kato, Shohei

AU - Sakaguchi, Koichi

AU - Sakuma, Takuto

AU - Ohdake, Reiko

AU - Masuda, Michihito

AU - Watanabe, Hirohisa

PY - 2020/10/13

Y1 - 2020/10/13

N2 - The increase in the number of dementia patients is a serious problem in developed countries. It is important to diagnose an underlying disease correctly because dementia has treatments depending on the disease. We have been investigating frontotemporal lobar degeneration (FTLD), which is one of the underlying diseases. This paper presents a speech analysis-based FTLD screening system. We used speech features to classify FTLD, Alzheimer's disease (AD) and HC. We confirmed that our method can classify three groups with accuracy of 0.81 and macro F-measure of 0.74. Our screening system has the potential to detect FTLD through short speech.

AB - The increase in the number of dementia patients is a serious problem in developed countries. It is important to diagnose an underlying disease correctly because dementia has treatments depending on the disease. We have been investigating frontotemporal lobar degeneration (FTLD), which is one of the underlying diseases. This paper presents a speech analysis-based FTLD screening system. We used speech features to classify FTLD, Alzheimer's disease (AD) and HC. We confirmed that our method can classify three groups with accuracy of 0.81 and macro F-measure of 0.74. Our screening system has the potential to detect FTLD through short speech.

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M3 - Conference contribution

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Hanai S, Kato S, Sakaguchi K, Sakuma T, Ohdake R, Masuda M et al. Easy detection of rare dementia based on speech analysis. In 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 954-956. 9291793. (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020). doi: 10.1109/GCCE50665.2020.9291793

Easy detection of rare dementia based on speech analysis

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