Presentation 2022-11-24
Reconstructing of Vocal Fold Vibration Video by Echo State Network and Dimensionality Reduction
Tomu Noguchi, Kota Shiozawa, Isao Tokuda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Video data provides an effective means for capturing the dynamics of experimental object. The dimensionality that actually governs the dynamics could be smaller than that of the raw video data. In this paper, we show that the video data, the dimensionality of which is reduced by principal component analysis, can be trained on an Echo State Network. The Echo State Network can reconstruct the original video with a good accuracy.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Dimensionality Reduction / Reservoir Computing / Auto Encoder / Video Analysis
Paper # NLP2022-56
Date of Issue 2022-11-17 (NLP)

Conference Information
Committee NLP
Conference Date 2022/11/24(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akio Tsuneda(Kumamoto Univ.)
Vice Chair Hiroyuki Torikai(Hosei Univ.)
Secretary Hiroyuki Torikai(Sojo Univ.)
Assistant Yuichi Yokoi(Nagasaki Univ.) / Yoshikazu Yamanaka(Utsunomiya Univ.)

Paper Information
Registration To Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reconstructing of Vocal Fold Vibration Video by Echo State Network and Dimensionality Reduction
Sub Title (in English)
Keyword(1) Dimensionality Reduction
Keyword(2) Reservoir Computing
Keyword(3) Auto Encoder
Keyword(4) Video Analysis
1st Author's Name Tomu Noguchi
1st Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
2nd Author's Name Kota Shiozawa
2nd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
3rd Author's Name Isao Tokuda
3rd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
Date 2022-11-24
Paper # NLP2022-56
Volume (vol) vol.122
Number (no) NLP-280
Page pp.pp.1-4(NLP),
#Pages 4
Date of Issue 2022-11-17 (NLP)