Item type |
SIG Technical Reports(1) |
公開日 |
2019-11-29 |
タイトル |
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タイトル |
Estimation of Three-Dimensional Tongue Shape from Midsagittal Tongue Contour using Regression Models |
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言語 |
en |
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タイトル |
Estimation of Three-Dimensional Tongue Shape from Midsagittal Tongue Contour using Regression Models |
言語 |
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言語 |
eng |
キーワード |
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主題Scheme |
Other |
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主題 |
ポスターセッション |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
著者所属 |
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Faculty of Intelligence and Informatics, Konan University |
著者所属 |
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Fourth Department of Forensic Science, National Research Institute of Police Science |
著者所属 |
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Department of Electrical and Electronic Engineering, Tohoku Institute of Technology |
著者所属(英) |
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en |
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Faculty of Intelligence and Informatics, Konan University |
著者所属(英) |
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en |
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Fourth Department of Forensic Science, National Research Institute of Police Science |
著者所属(英) |
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en |
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Department of Electrical and Electronic Engineering, Tohoku Institute of Technology |
著者名 |
Tatsuya, Kitamura
Hisanori, Makinae
Masashi, Ito
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著者名(英) |
Tatsuya, Kitamura
Hisanori, Makinae
Masashi, Ito
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論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
In this study, we investigated methods to estimate the tongue contours of the outer sagittal planes from a midsagittal tongue contour using linear and machine-learning-based regression models. To validate the method, tongue contours were extracted from each frame of a 3D MRI movie of the three sagittal planes, including the midsagittal plane, recorded while a male adult speaker produced the Japanese vowel sequence / aiueo /. The extracted tongue contoius were then converted into harmonic amplitude profiles (HAPs) using a 2D Fourier transformation to reduce the number of dimensions. Finally, we calculated the coefficients of a multiple regression model and trained a random forest regression model to map the HAP of the midsagittal plane to those of the outer sagittal planes. In comparison with the multiple regression model, the random forest regression model demonstrated a higher estimation accuracy and exhibited an average distance error of less than 2.0 mm in a 10-fold cross-vafidation test. |
論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
In this study, we investigated methods to estimate the tongue contours of the outer sagittal planes from a midsagittal tongue contour using linear and machine-learning-based regression models. To validate the method, tongue contours were extracted from each frame of a 3D MRI movie of the three sagittal planes, including the midsagittal plane, recorded while a male adult speaker produced the Japanese vowel sequence / aiueo /. The extracted tongue contoius were then converted into harmonic amplitude profiles (HAPs) using a 2D Fourier transformation to reduce the number of dimensions. Finally, we calculated the coefficients of a multiple regression model and trained a random forest regression model to map the HAP of the midsagittal plane to those of the outer sagittal planes. In comparison with the multiple regression model, the random forest regression model demonstrated a higher estimation accuracy and exhibited an average distance error of less than 2.0 mm in a 10-fold cross-vafidation test. |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AN10442647 |
書誌情報 |
研究報告音声言語情報処理(SLP)
巻 2019-SLP-130,
号 14,
p. 1-6,
発行日 2019-11-29
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ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8663 |
Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
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言語 |
ja |
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出版者 |
情報処理学会 |