Organization
Undergraduate School School of Interdisciplinary Mathematical Sciences Professor
Title
Professor
External link
Research Interests
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ベイズ統計
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逆解析
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時空間データ解析
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Deep Learning
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データ同化
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Particle filter
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Bayesian statistics
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Inverse analysis
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Variational Autoencoder
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Data Assimilation
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Spatio-temporal data analysis
Research Areas
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Informatics / Statistical science
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Informatics / Intelligent informatics
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Informatics / Perceptual information processing
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Informatics / Soft computing
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Informatics / Mathematical informatics
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Informatics / Computational science
Education
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The Graduate University for Advanced Studies School of Multidisciplinary Sciences Department of Statistical Science
2004 - 2007
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東京大学大学院 情報理工学系研究科 数理情報学専攻
2002 - 2004
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The University of Tokyo The Faculty of Engineering Department of Mathematical Engineering and Information Physics
- 2002
Country/Region： Japan
Research History
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Meiji University School of Interdisciplinary Mathematical Sciences Professor
2018
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Meiji University School of Interdisciplinary Mathematical Sciences Associate Professor
2013 - 2018
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Meiji University Graduate School of Advanced Mathematical Sciences Senior Assistant Professor (non-tenured)
2011 - 2013
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Meiji University Organization for the Strategic Coordination of Research and Intellectual Properties Senior Assistant Professor (non-tenured)
2009 - 2011
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Research Organization of Information and Systems The Institute of Statistical Mathematics
2008 - 2009
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科学技術振興機構 CREST研究員
2007 - 2008
Professional Memberships
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日本シミュレーション学会
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日本地球惑星科学連合
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American Statistical Association
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日本統計学会
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地盤工学会
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日本応用数理学会
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情報処理学会
Papers
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Cell position-based evaluation of mechanical features of cells in multicellular systems Reviewed
Hiroshi Koyama, Atsushi M. Ito, Hisashi Okumura, Tetsuhisa Otani, Kazuyuki Nakamura, Toshihiko Fujimori
Journal of Theoretical Biology 2025.5
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The Application of Zig-Zag Sampler in Sequential Markov Chain Monte Carlo Reviewed
Yu Han, Kazuyuki Nakamura
Journal of Information Processing 33 231 - 244 2025
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Representation of Protein Dynamics Disentangled by Time-Structure-Based Prior Reviewed
Tsuyoshi Ishizone, Yasuhiro Matsunaga, Sotaro Fuchigami, Kazuyuki Nakamura
Journal of Chemical Theory and Computation 2024.1
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Yokoyama, H., Yamashita, T., Kojima, Y., Nakamura, K.
Water Research 260 2024
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Koyama, H., Okumura, H., Otani, T., Ito, A.M., Nakamura, K., Kato, K., Fujimori, T.
Frontiers in Cell and Developmental Biology 12 2024
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Refinement of nonlinear seismic response analysis model for bridges using data assimilation technology Reviewed
NISHIZAWA Yusuke, MIURA Hiroyasu, GUNAWAN Devin, IGARASHI Noa, SOGABE Naoki, IWAMAE Nobuyuki, TAMANO Keigo, NAKAMURA Kazuyuki
Artificial Intelligence and Data Science 5 ( 3 ) 42 - 52 2024
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石曽根 毅, 樋口 知之, 中村 和幸
計測自動制御学会論文集 = Transactions of the Society of Instrument and Control Engineers 59 ( 7 ) 342 - 352 2023.7
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Koyama, H., Okumura, H., Ito, A.M., Nakamura, K., Otani, T., Kato, K., Fujimori, T.
PLoS Computational Biology 19 ( 8 August ) 2023
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Tsuyoshi Ishizone, Tomoyuki Higuchi, Kazuyuki Nakamura
Nonlinear Theory and Its Applications, IEICE 14 ( 4 ) 691 - 717 2023
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Occupancy Detection for General Households by Bidirectional LSTM with Attention Reviewed
Hisashi Oshima, Tsuyoshi Ishizone, Kazuyuki Nakamura, Tomoyuki Higuchi
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society 2022.10
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An Online System of Detecting Anomalies and Estimating Cycle Times for Production Lines Reviewed
Tsuyoshi Ishizone, Tomoyuki Higuchi, Kosuke Okusa, Kazuyuki Nakamura
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society 2022.10
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Han Yu, Nakamura Kazuyuki
Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2022 18 - 23 2022.3
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Glycolytic oscillations in HeLa cervical cancer cell spheroids Reviewed
Amemiya, T., Shibata, K., Takahashi, J., Watanabe, M., Nakata, S., Nakamura, K., Yamaguchi, T.
FEBS Journal 289 ( 18 ) 2022
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Real-time Linear Operator Construction and State Estimation with the Kalman Filter Reviewed
Ishizone, T., Nakamura, K.
Journal of Information Processing 30 2022
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Kubo, S., Kato, S., Nakamura, K., Kodera, N., Takada, S.
Scientific Reports 10 ( 1 ) 2020
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High-Time-Resolution Audio-to-MIDI Conversion Exploiting Music Score Information Reviewed
Takeshi, Hori, Kazuyuki, Nakamura, Shigeki, Sagayama
60 ( 11 ) 2034 - 2047 2019.11
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KATSUYAMA Shoki, TANIGUCHI Kenji, NAKAMURA Kazuyuki
Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 74 ( 5 ) I_253 - I_258 2018
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Analysis of Exchange Rates and Gold Price Using Relative Noise Contribution Reviewed
Y. Shimazaki, K. Nakamura, Y. Tanokura
Proceedings of the 49th ISCIE International Symposium on Stochastic Systems Theory and Its Applications 142 - 146 2018
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状態空間モデルによる購買間隔の規則性の推定 Reviewed
奥野拓也, 中村和幸
情報処理学会論文誌数理モデル化と応用（TOM） 63 ( 2 ) 83 - 90 2018
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Photoplethysmogram at green light: Where does chaos arise from? Reviewed
N. Sviridova, T. Zhao, K. Aihara, K. Nakamura, A. Nakano
Chaos, Solitons & Fractals 116 157 - 165 2018
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Local noise sensitivity: Insight into the noise effect on chaotic dynamics Reviewed
Nina Sviridova, Kazuyuki Nakamura
CHAOS 26 ( 12 ) 2016.12
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Fast and stable estimation of macroscopic parameters in particle systems by data assimilation Reviewed
K. Nakamura, Y. Kono
Proceedings of the 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications 132 - 136 2016
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Estimeting the Individual Effect of Sales Promotion Reviewed
Takuya, Okuno, Kazuyuki, Nakamura
9 ( 3 ) 61 - 74 2016
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Kimura, A., Celani, A., Nagao, H., Stasevich, T., Nakamura, K.
Frontiers in Physiology 6 ( MAR ) 2015
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Yoshito Ohya, Kazuyuki Nakamura
Theoretical and Applied Mechanics Japan 62 167 - 178 2014
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Rapid detection of the switching point in a financial market structure using the particle filter Reviewed
Yura, Y., Takayasu, H., Nakamura, K., Takayasu, M.
Journal of Statistical Computation and Simulation 84 ( 10 ) 2014
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Data assimilation using the particle filter for identifying the elasto-plastic material properties of geomaterials Reviewed
Akira Murakami, Takayuki Shuku, Shin-ichi Nishimura, Kazunori Fujisawa, Kazuyuki Nakamura
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS 37 ( 11 ) 1642 - 1669 2013.8
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Tsunami Inundation Simulation for Disaster Mitigation and Utilization of Tsunami Observation Data Reviewed
Ohya Yoshito, Nakamura Kazuyuki
Bulletin of the Japan Society for Industrial and Applied Mathematics 23 ( 3 ) 112 - 123 2013
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A High-Resolution Shape Fitting and Simulation Demonstrated Equatorial Cell Surface Softening during Cytokinesis and Its Promotive Role in Cytokinesis Reviewed
Hiroshi Koyama, Tamiki Umeda, Kazuyuki Nakamura, Tomoyuki Higuchi, Akatsuki Kimura
PLOS ONE 7 ( 2 ) e31607 2012.2
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Parameter identification for Cam-clay model in partial loading model tests using the particle filter Reviewed
Shuku, T., Murakami, A., Nishimura, S.-I., Fujisawa, K., Nakamura, K.
Soils and Foundations 52 ( 2 ) 279 - 298 2012
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An Algorithm for Detecting Precursory Events from Time Series Data Reviewed
4 ( 3 ) 14 - 34 2011.7
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Onset time determination of precursory events in time series data by an extension of Singular Spectrum Transformation Reviewed
Terumasa Tokunaga, Daisuke Ikeda, Kazuyuki Nakamura, Tomoyuki Higuchi, Akimasa Yoshikawa, Teiji Uozumi, Akiko Fujimoto, Akira Morioka, Kiyohumi Yumoto
International Journal of Circuits, Systems and Signal Processing 5 ( 1 ) 46 - 60 2011
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Optimization of boundary condition and physical parameter in an ocean tide model using an evolutionary Algorithm Reviewed
Daisuke Inazu, Tomoyuki Higuchi, Kazuyuki Nakamura
Theoretical and Applied Mechanics Japan 58 101 - 112 2010
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Constraining Interplate Frictional Parameters by Using Limited Terms of Synthetic Observation Data for Afterslip : A Preliminary Test of Data Assimilation Reviewed
MITSUI Noa, HORI Takane, MIYAZAKI Shin’ichi, NAKAMURA Kazuyuki
Theoretical and Applied Mechanics Japan 58 113 - 120 2010
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粒子フィルタによる神戸空港島沈下挙動のデータ同化 Reviewed
珠玖隆行, 村上 章, 西村伸一, 藤澤和謙, 中村和幸
応用力学論文集 13 99 - 105 2010
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Accurate ocean tide modeling in southeast Alaska and large tidal dissipation around Glacier Bay Reviewed
Daisuke Inazu, Tadahiro Sato, Satoshi Miura, Yusaku Ohta, Kazuyuki Nakamura, Hiromi Fujimoto, Christopher F. Larsen, Tomoyuki Higuchi
JOURNAL OF OCEANOGRAPHY 65 ( 3 ) 335 - 347 2009.6
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粒子フィルタによる地盤解析のデータ同化—Data assimilation in geotechnical analysis using the particle filter Reviewed
村上 章, 西村 伸一, 藤澤 和謙, 中村 和幸, 樋口 知之
応用力学論文集 12 99 - 105 2009
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Parameter estimation of in silico biological pathways with particle filtering towards a petascale computing Reviewed
Kazuyuki Nakamura, Ryo Yoshida, Masao Nagasaki, Satoru Miyano, Tomoyuki Higuchi
Pacific Symposium on Biocomputing 2009, PSB 2009 227 - 238 2009
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Merging Particle Filter and Its Characteristics Reviewed
56 ( 2 ) 225 - 234 2008.12
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A recursive recomputation approach for smoothing in nonlinear state-space modeling: An attempt for reducing space complexity Reviewed
Kazuyuki Nakamura, Takashi Tsuchiya
IEEE TRANSACTIONS ON SIGNAL PROCESSING 55 ( 11 ) 5167 - 5178 2007.11
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Nakamura, K., Higuchi, T., Hirose, N.
Journal of Universal Computer Science 12 ( 6 ) 2006
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Sequential data assimilation: Information fusion of a numerical simulation and large scale observation data
Kazuyuki Nakamura, Tomoyuki Higuchi, Naoki Hirose
JOURNAL OF UNIVERSAL COMPUTER SCIENCE 12 ( 6 ) 608 - 626 2006
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Data Assimilation : Concept and Algorithm Reviewed
53 ( 2 ) 211 - 229 2005
Books
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基幹講座 数学 統計学
中村 和幸（ Role： Sole author）
東京図書 2017
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現象数理学の冒険
三村昌泰, 杉原厚吉, 青木健一, 中村和幸, 高安秀樹, 砂田利一, 萩原一郎（ Role： Contributor「地球科学の数理」）
明治大学出版会 2015
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新版 信頼性ハンドブック
日本信頼性学会編（ Role： Contributor「2.7.1 データ同化とは」）
日科技連 2014
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データ同化入門―次世代のシミュレーション技術―
樋口知之, 上野玄太, 中野慎也, 中村和幸, 吉田亮（ Role： Contributor５章ならびに９章）
朝倉書店 2011
MISC
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数理データサイエンスの拡がりと応用－生命科学から診断支援まで
中村 和幸
医学のあゆみ 279 188 - 193 2021
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最先端研究 ベイズ推定を用いた地理的プロファイリング—Geographic Profiling Using Bayesian Estimation
藤岡 徳穂, 中村 和幸
シミュレーション = Journal of the Japan Society for Simulation Technology / 日本シミュレーション学会 編 38 ( 3 ) 155 - 163 2019.9
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中村 和幸
シミュレーション = Journal of the Japan Society for Simulation Technology / 日本シミュレーション学会 編 38 ( 1 ) 21 - 27 2019.3
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チュートリアル 統計的時系列解析(1)定常性とARモデル—Tutorial : Statistical Time Series Analysis(1)Stationarity and AR Model
中村 和幸
応用数理 = Bulletin of the Japan Society for Industrial and Applied Mathematics / 日本応用数理学会 編 24 ( 1 ) 23 - 28 2014.3
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中村 和幸
応用数理 24(4) 29 - 35 2014
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中村 和幸
応用数理 24 (2) 26 - 31 2014
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中村 和幸
応用数理 24(3) 33 - 38 2014
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変化点検出を応用した時系列データからの突発現象の前兆検出アルゴリズム
徳永旭将, 池田大輔, 中村和幸, 樋口知之, 吉川顕正, 魚住禎司, 藤本晶子, 森岡昭, 湯元清文
情報処理学会研究報告(CD-ROM) 2010 ( 5 ) 2011
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Timing relation between positive bay onsets, Pi 2 onsets, auroral initial brightenings and auroral breakups
TOKUNAGA Terumasa, NAKAMURA Kazuyuki, HIGUCHI Tomoyuki, UOZUMI Teiji, YOSHIKAWA Akimasa, MORIOKA Akira, YUMOTO Kiyohumi, YUMOTO Kiyohumi
地球電磁気・地球惑星圏学会総会及び講演会予稿集(CD-ROM) 130th 2011
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状態推定
中村 和幸
オペレーションズ・リサーチ : 経営の科学 = [O]perations research as a management science [r]esearch 55 ( 7 ) 433 - 434 2010.7
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STPデータからの異常検出法の開発~substorm precursor検出への応用
徳永旭将, 中村和幸, 樋口知之, 吉川顕正, 魚住禎司, 池田大輔, 藤本晶子, 森岡昭, 湯元清文
宇宙航空研究開発機構特別資料 JAXA-SP- ( 09-006 ) 2010
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Recent Advances and Applications on Bayesian Theory [II] : Sequential Bayesian Estimation and Data Assimilation
NAKAMURA Kazuyuki, HIGUCHI Tomoyuki
The Journal of the Institute of Electronics, Information and Communication Engineers 92 ( 12 ) 1062 - 1067 2009
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A detection of substorm precursors on geomagnetic data at auroral latitudes by SSA-based change-point analysis
TOKUNAGA Terumasa, NAKAMURA Kazuyuki, HIGUCHI Tomoyuki, YOSHIKAWA Akimasa, UOZUMI Teiji, MORIOKA Akira, YUMOTO Kiyohumi, YUMOTO Kiyohumi
地球電磁気・地球惑星圏学会総会及び講演会予稿集(CD-ROM) 126th 2009
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地上観測されたPi2型地磁気脈動のグローバルな波動特性解析のための周波数領域独立成分分析の応用
徳永旭将, 吉川顕正, 魚住禎司, 樋口知之, 中村和幸, 湯元清文
地球電磁気・地球惑星圏学会総会及び講演会予稿集(CD-ROM) 126th ROMBUNNO.B006-P018 2009
Awards
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論文賞（英文部門）
2013.6 地盤工学会
珠玖隆行, 村上章, 西村伸一, 藤澤和謙, 中村和幸
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Poster Award
2008.12 バイオスーパーコンピューティングシンポジウム2008
中村 和幸
Research Projects
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データ分布の統計的特徴とCNNの数理構造に基づく判断根拠可視化の学理構築と実証
Grant number：23K11156 2023.4 - 2026.3
日本学術振興会 科学研究費助成事業 基盤研究(C)
中村 和幸, 越智 小枝, 宮坂 政紀, 井上 雅世
Authorship：Principal investigator
Grant amount：\4810000 （ Direct Cost: \3700000 、 Indirect Cost：\1110000 ）
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脳細胞ネットワークにおける乳酸代謝動学－脳の高次機能や神経疾患の解明を目指して－
Grant number：20K20631 2020.7 - 2023.3
日本学術振興会 科学研究費助成事業 挑戦的研究(開拓)
雨宮 隆, 中村 和幸, 山口 智彦
Authorship：Coinvestigator(s)
Grant amount：\26000000 （ Direct Cost: \20000000 、 Indirect Cost：\6000000 ）
脳の高次機能や神経疾患に関わると考えられる脳細胞における乳酸の代謝動態の解明を目的として研究を進めている。そのために，アストロサイトで産生された乳酸がニューロンに輸送されて代謝されるというANLS（Astrocyte Neuron Lactate Shuttle）仮説の検証を行うこととした。アストロサイトで産生された乳酸がニューロンに輸送されて代謝されれば，これら2種類の細胞の間には乳酸輸送に関する因果性が生じる。そこで，申請者らが研究を行ってきた1細胞レベルの代謝振動現象を利用すれば，このような因果関係を統計学的に解析できるものと推論した。
そこで，アストロサイト／ニューロン混合培養系の確立と因果性解析のための統計学的手法の確立の2つを目的として研究を進めた。まず，マウス中枢神経系幹細胞株（MEB5）を用いた共培養系の実験を行った。各種培地組成を用いてMEB5の培養を試みたが，分化に必要な細胞密度に達する前に細胞が死滅する結果となり，本細胞株の培養は困難であることが分かった。そこで次に，マウス胚性腫瘍由来細胞株（P19C6）を選択した。この細胞株は接着性の腫瘍由来であることから，培養が比較的容易であると考えた。レチノイン酸の添加により，分化開始6日目に軸索を有しかつ増殖が見られないニューロンと思われる細胞に，また，10日目には軸索構造をもつ細胞とは別の形状をした増殖細胞のアストロサイトと思われる細胞が出現した。今後，免疫染色などによる細胞の同定が必要であるが，ANLS仮説の検証に必要なアストロサイト／ニューロン混合培養系の確立に向けて大きく前進した。
因果性の統計学的解析手法として，CCM（Convergent Cross Mapping）法をヒト子宮頚がんHeLa細胞スフェロイドの糖代謝振動に適用し，隣接細胞の相互作用をCCM強度として抽出できることを明らかにした。 -
Automation of a state space modeling by an integration of the variational auto encoder and particle filter
Grant number：19H04186 2019.4 - 2023.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)
Authorship：Coinvestigator(s)
Grant amount：\16900000 （ Direct Cost: \13000000 、 Indirect Cost：\3900000 ）
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Music Generation and Analysis Based on Mathematical Modeling of Composiion, Performance and Acoustic Signals
Grant number：17H00749 2017.4 - 2020.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)
Sagayama Shigeki
Authorship：Coinvestigator(s)
Grant amount：\45630000 （ Direct Cost: \35100000 、 Indirect Cost：\10530000 ）
We performed various researches in the field of music information processing. Regarding the music information field as a three-level hierarchical structure comprising of the score level, the performance level, and the signal level, we tackled various problems from the viewpoint of information conversion within and between layers and their interaction with humans. Numerous research results were achieved including some examples such as: (1) Automatic completion of music: the world's first proposal and solution of a problem that complements and completes a song full of holes such as melody fragments and partial harmony, (2) Using score Detailed analysis and separation of onset time of music signal, (3) New theory and algorithm for automatic fingering determination, (4) Welfare application of automatic accompaniment system, (5) Dissemination of automatic music system Orpheus to society, and many more.
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データ同化モデリングの自動化原理開発によるハイレベル予測発見手法の構築
2017 - 2020
科学技術振興機構 戦略的創造研究推進事業 さきがけ
中村 和幸
Authorship：Principal investigator
データ同化は、計測とシミュレーションを融合することで新知識発見や予測を可能とする技術ですが、個別の問題に合わせたモデリングが必要なため、適用分野が限定されてきました。本提案では、ベイズ統計・非線形数理解析といった統計・数理手法を組み合わせ、客観的かつ自動的なデータ同化モデリングの原理を生み出します。これにより、高度計測と融合したデータ同化を可能とし、様々な計測での新たな潜在知識発見を実現します。
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Construction of novel principle for knowledge discovery in particle methods for fluid dynamics using statistical models
Grant number：15H05303 2015.4 - 2018.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (A)
NAKAMURA Kazuyuki
Authorship：Principal investigator
Grant amount：\4810000 （ Direct Cost: \3700000 、 Indirect Cost：\1110000 ）
In the particle methods for fluid analysis, fluids are represented by many particles and analyzed. In this study, we constructed the framework and principles for the error of the particle methods in the form of distribution through construction of estimation method of prediction errors, measurements of water tank experiments, and evaluation of statistical error. Especially, we obtained the effectiveness of bounded Gaussian and uniform mixture distribution for error model of macroscopic parameters and the effectiveness of the use of heavy-tailed distributions for error distribution. In addition, we obtained visualization results in which we can easily confirm key physical quantities and check the validity of the analysis. We also obtained evaluation results of errors in stochastic cellular automata model and relationship between local noise sensitivity and particle methods analysis.
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Construction of next-generation data assimilation for the solid Earth science
Grant number：26280006 2014.4 - 2018.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)
Nagao Hiromichi, KOYAGUCHI Takehiro, ICHIMURA Tsuyoshi, IWATA Takaki, MIZUSAKO Sadanobu, SUZUKI Akihiro, ISHIKAWA Daichi, KUROKAWA Takashi, KANO Masayuki, ITO Shin-ichi
Authorship：Coinvestigator(s)
Grant amount：\16380000 （ Direct Cost: \12600000 、 Indirect Cost：\3780000 ）
This project has made considerable advances in data assimilation (DA) methodologies for the solid Earth science. We succeeded in developing a new four-dimensional variational method, which is a DA method applicable to simulation models having large degrees of freedom. We also applied DA to the real data obtained by a dense seismic observation array, developing a model-/data-driven DA methodology through an integration of the replica exchange Monte Carlo method. The obtained results were presented in many domestic and international conferences, and publised as papers in international journals. We are going to publish a book related to this issue. We convened special sessions in many conferences such as Japan Geoscience Union Meeting.
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Estimation of cloud bottom height using satellite observation and its application to satellite data assimilation technique
Grant number：26289162 2014.4 - 2018.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)
TANIGUCHI KENJI
Authorship：Coinvestigator(s)
Grant amount：\16120000 （ Direct Cost: \12400000 、 Indirect Cost：\3720000 ）
In this research, a data assimilation technique by Ensemble Kalman Filter (EnKF) was developed to improve hydrometeors (cloud water, cloud ice, snow, grauple and water vapor) in numerical weather model. Brightness temperatures (TB) observed by microwave radiometer onboard satellites were assimilated. Assimilation of TBs in multiple frequencies showed better results than the assimilation of single frequency TB. At the same time, comparing one-time assimilation experiment, sequential data assimilation using TBs at multiple observation time also showed improvement of atmospheric condition. Predicted rainfall also showed clear improvement in the maximum values in ensemble simulations.
Cloud bottom height which is used to define the lower boundary of vertical distribution of hydrometeors in the assimilation process showed clear relationship to atmospheric temperature. Using this relationship, appropriate cloud bottom height can be estimated for each assimilation time. -
Music information processing combining composition, performance and signal models
Grant number：26240025 2014.4 - 2017.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)
Sagayama Shigeki
Authorship：Coinvestigator(s)
Grant amount：\42640000 （ Direct Cost: \32800000 、 Indirect Cost：\9840000 ）
We pioneered and fused the hierarchical mathematical models of music composition, performance and signal such as A: the signal layer including multipitch analysis of music signals, score following, signal conversion / processing / separation, sound source direction estimation, and music watermarking, B: the performance layer including performance analysis, rhythm estimation, automatic rendition, automatic accompaniment, automatic fingering decision and automatic jazz session, C: the score layer including harmony recognition based on mathematical formulation of music composition theory, automatic music composition from lyrics, automatic lyrics creation, automatic arrangement, automatic composition from images, and D: the common infrastructure including mathematical modeling that supports them, machine learning / optimization, and deep neural networks, focusing on problems between these layers.
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Principles for knowledge discovery through new batch type algorithm of combination of simulation and observation
Grant number：25870803 2013.4 - 2016.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)
Nakamura Kazuyuki
Authorship：Principal investigator
Grant amount：\1690000 （ Direct Cost: \1300000 、 Indirect Cost：\390000 ）
Data assimilation is the concept and algorithm that combine numerical simulation model with observation data. In this research, new batch type algorithm of data assimilation is constructed. The effectiveness of the algorithm is also verified. As a result, possibility of the effectiveness of the repeated calculation algorithm has been found. Numerical experiments to test the effectiveness of the algorithm through several test model is also conducted. From the results, effectiveness of the approach is confirmed. It is also confirmed that we can construct appropriate formulation for data assimilation by changing probability distributions which represent the errors of the numerical simulations.
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Versatile music processing by combining statistical signal processing and music theory
Grant number：23240021 2011.4 - 2014.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)
SAGAYAMA Shigeki, ONO Nobutaka, NISHIMOTO Takuya, SAITO Daisuke, HORI Gen, NAKAMURA Kazuyuki, KANEKO Hitomi
Authorship：Coinvestigator(s)
Grant amount：\38740000 （ Direct Cost: \29800000 、 Indirect Cost：\8940000 ）
We investigated signal and information processing of music, acoustic and speech by integrating statistical signal processing and mathematical models of music theory. Just as integration of acoustic and linguistic processing was the key technology in speech recognition, integrating signal processing and music theory is essential in music processing. More precisely, we developed A: analysis, conversion, separation and detection of music signals based on mathematical models and statistical learning, B: chord recognition, rhythm analysis, segmentation, structural analysis, genre recognition based on mathematical formulation of music theory, and C: automatic music rendering, automatic music composition, automatic music accompaniment and automatic music arrangement based on machine learning and mathematical optimization.
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