Updated on 2024/10/07

Information

 

写真a

 
NAKAMURA EITA
 
Organization
Faculty of Information Science and Electrical Engineering Department of Informatics Associate Professor
School of Engineering Department of Electrical Engineering and Computer Science(Concurrent)
Graduate School of Information Science and Electrical Engineering Department of Information Science and Technology(Concurrent)
Joint Graduate School of Mathematics for Innovation (Concurrent)
Title
Associate Professor
Contact information
メールアドレス

Degree

  • Ph.D.

Papers

  • Estimation of creator influences based on cultural evolution models of color styles in painting arts Reviewed

    Eita Nakamura, Yasuyuki Saito

    The Journal of the Institute of Image Electronics Engineers of Japan   53 ( 1 )   19 - 27   2024.2

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

  • Computational analysis of selection and mutation probabilities in the evolution of chord progressions Reviewed

    Eita Nakamura

    Proc. 16th International Symposium on Computer Music Multidisciplinary Research (CMMR)   462 - 473   2023.11

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • Audio-to-score singing transcription based on joint estimation of pitches, onsets, and metrical positions with tatum-level CTC loss Reviewed

    Tengyu Deng, Eita Nakamura, Kazuyoshi Yoshii

    Proc. 15th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)   570 - 577   2023.11

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Evolutionary analysis and cultural transmission models of color style distributions in painting arts Reviewed

    Eita Nakamura, Yasuyuki Saito

    Proc. 15th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)   493 - 500   2023.11

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • CTC2: End-to-end drum transcription based on connectionist temporal classification with constant tempo constraint, Reviewed

    Daichi Kamakura, Eita Nakamura, Kazuyoshi Yoshii,

    Proc. 15th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)   152 - 158   2023.11

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Joint drum transcription and metrical analysis based on periodicity-aware multi-task learning Reviewed

    Daichi Kamakura, Takehisa Ooyama, Eita Nakamura, Kazuyoshi Yoshii

    Proc. 15th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)   145 - 151   2023.11

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Automatic orchestration of piano scores for wind bands with user-specified instrumentation Reviewed

    Takuto Nabeoka, Eita Nakamura, Kazuyoshi Yoshii

    Proc. 16th International Symposium on Computer Music Multidisciplinary Research (CMMR)   387 - 394   2023.11

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • Historical changes of modes and their substructure modeled as pitch distributions in plainchant from the 1100s to the 1500s Reviewed International coauthorship

    Eita Nakamura, Tim Eipert, Fabian C. Moss

    Proc. 16th International Symposium on Computer Music Multidisciplinary Research (CMMR)   450 - 461   2023.11

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • Mutual generation in neuronal activity across the brain via deep neural approach, and its network interpretation Reviewed

    Ryota Nakajima, Arata Shirakami, Hayato Tsumura, Kouki Matsuda, Eita Nakamura, Masanori Shimono

    Communications Biology   6 ( 1105 )   1 - 14   2023.10

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1038/s42003-023-05453-2

  • Computational analysis of audio recordings of piano performance for automatic evaluation Reviewed

    Norihiro Kato, Eita Nakamura, Kyoko Mine, Orie Doeda, Masanao Yamada

    Proc. 18th European Conference on Technology Enhanced Learning (ECTEL)   586 - 592   2023.9

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Experimental evolution of music styles using automatic composition models Reviewed

    Eita Nakamura, Hitomi Kaneko, Takayuki Itoh, Kunihiko Kaneko

    Proc. 2023 Conference on Artificial Life (ALIFE)   660 - 662   2023.7

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • Neural band-to-piano score arrangement with stepless difficulty control Reviewed

    Moyu Terao, Eita Nakamura, Kazuyoshi Yoshii

    Proc. 48th IEEE International Conference on Acoustics, Speech, and Signal Processing Conference (ICASSP)   ( 1415 )   1 - 5   2023.6

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • End-to-end lyrics transcription informed by pitch and onset estimation, Reviewed

    Tengyu Deng, Eita Nakamura, Kazuyoshi Yoshii

    Proc. 23rd International Society for Music Information Retrieval Conference (ISMIR)   633 - 639   2022.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Tracking the evolution of a band's performances over decades Reviewed International coauthorship

    Florian Thalmann, Eita Nakamura, Kazuyoshi Yoshii

    Proc. 23rd International Society for Music Information Retrieval Conference (ISMIR)   850 - 857   2022.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Automatic piano fingering from partially annotated scores using autoregressive neural networks Reviewed International coauthorship

    Pedro Ramoneda, Dasaem Jeong, Eita Nakamura, Xavier Serra, Marius Miron

    Proc. 30th ACM International Conference on Multimedia (ACMMM)   6502 - 6510   2022.10

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Dynamic cluster structure and predictive modelling of music creation style distributions Reviewed

    Rajsuryan Singh, Eita Nakamura

    Royal Society Open Science   9 ( 220516 )   1 - 18   2022

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1098/rsos.220516

  • Joint Estimation of Note Values and Voices for Audio-to-Score Piano Transcription Reviewed

    Yuki Hiramatsu, Eita Nakamura, Kazuyoshi Yoshii

    Proc. 22nd International Society for Music Information Retrieval Conference (ISMIR)   278 - 284   2021.11

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Eita Nakamura Reviewed

    Conjugate Distribution Laws in Cultural Evolution via Statistical Learning

    Physical Review E   104 ( 034309 )   1 - 13   2021.9

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1103/PhysRevE.104.034309

  • Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model Reviewed

    Yuki Hiramatsu, Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii

    Proc. 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)   256 - 260   2021.6

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Eita Nakamura, Kazuyoshi Yoshii Reviewed

    Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions

    Information Sciences   572   482 - 500   2021.5

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.ins.2021.04.100

  • Audio-to-Score Singing Transcription Based on a CRNN-HSMM Hybrid Model Reviewed

    Ryo Nishikimi, Eita Nakamura, Masataka Goto, Kazuyoshi Yoshii

    APSIPA Transactions on Signal and Information Processing   10 ( e7 )   1 - 13   2021.4

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1017/ATSIP.2021.4

  • Non-Local Musical Statistics as Guides for Audio-to-Score Piano Transcription Reviewed

    Kentaro Shibata, Eita Nakamura, Kazuyoshi Yoshii

    Information Sciences   566   262 - 280   2021.3

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.ins.2021.03.014

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Research Projects

  • 深層・統計学習と非平衡系物理の理論に基づく文化と知能の進化モデルの研究

    Grant number:23K24917  2022.4 - 2025.3

    科学研究費助成事業  基盤研究(B)

    中村 栄太, 金子 仁美, 齋藤 康之, 伊藤 貴之, 持橋 大地

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    Grant type:Scientific research funding

    高度な知能を要する文化の発展の原理を理解するとともに、スタイルが時間変化する創作物データの情報処理と予測を可能にするため、深層・統計モデルと進化理論を統合した「文化と知能の進化モデル」を研究する。本研究では、このモデルの構築と解析のための理論手法と機械学習手法を研究して、(A) 多分野で活用できる文化進化の解析手法の構築、(B) 音楽・言語・絵画データの正確なトレンド予測、(C) 芸術史における変革期の定量的な要因分析、(D) 作曲・演奏スタイルの時代変化に対応できる音楽情報処理技術の開発を行う。

    CiNii Research