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Automatic Music Composition Adapting to Personal Sensibility Based on Evolutionary Computation Algorithm

Research Project

Project/Area Number 26330318
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Kansei informatics
Research InstitutionTokyo City University

Principal Investigator

OTANI Noriko  東京都市大学, メディア情報学部, 教授 (70328566)

Co-Investigator(Renkei-kenkyūsha) NUMAO Masayuki  大阪大学, 産業科学研究所, 教授 (30198551)
AIBA Eriko  電気通信大学, 情報理工学系研究科, 助教 (40569761)
Project Period (FY) 2014-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords自動作曲 / 感性モデル獲得 / 進化計算アルゴリズム / 帰納論理プログラミング / 訓練例作成
Outline of Final Research Achievements

In this research, we aimed to construct an automatic music composition system adapting to personal sensibility, and to provide an environment where music can be enjoyed for more various use. A method of generating chord progressions in consideration of the entire music structure, a method for extracting personal sensibility models using only existing musical pieces adapting the objective as training data, and a method of utilizing the automatic music composition system in artists' creative activities were proposed. Those effectiveness were confirmed in some experiments and case studies. In addition, we developed a browser-based interface, and held some workshops of experience of our automatic music composition system in various events.

Report

(5 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report
  • 2014 Research-status Report
  • Research Products

    (15 results)

All 2017 2015 2014 Other

All Journal Article (6 results) (of which Acknowledgement Compliant: 6 results,  Peer Reviewed: 2 results) Presentation (8 results) (of which Int'l Joint Research: 2 results) Remarks (1 results)

  • [Journal Article] 感性に基づく楽曲生成のためのコードネーム推定2017

    • Author(s)
      土屋直樹, 大谷紀子, 沼尾正行
    • Journal Title

      情報処理学会第79回全国大会予稿集

      Volume: Vol.2 Pages: 85-86

    • NAID

      170000174570

    • Related Report
      2016 Research-status Report
    • Acknowledgement Compliant
  • [Journal Article] アーティストの創作活動における自動作曲システムの活用-『akaihane』のケーススタディ-2017

    • Author(s)
      大谷紀子, 岡部大介, 白井大輔, 高田志麻, 沼尾正行
    • Journal Title

      情報処理学会第79回全国大会予稿集

      Volume: Vol.2 Pages: 21-22

    • NAID

      170000174541

    • Related Report
      2016 Research-status Report
    • Acknowledgement Compliant
  • [Journal Article] Training Dataset to Induce the Personal Sensibility Model for a Music Composition System2015

    • Author(s)
      N.Tsuchiya, T.Koori, M.Numao, N.Otani
    • Journal Title

      Proceedings of International Workshop on Informatics 2015

      Volume: - Pages: 201-205

    • Related Report
      2015 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] 個人の嗜好に合わせた高揚曲の自動生成2015

    • Author(s)
      大谷紀子, 饗庭絵里子, 沼尾正行
    • Journal Title

      情報処理学会研究報告

      Volume: Vol.2015-DCC-11

    • Related Report
      2015 Research-status Report
    • Acknowledgement Compliant
  • [Journal Article] 自動作曲のための感性モデル獲得手法の検討2015

    • Author(s)
      土屋直樹, 郡孝実, 沼尾正行, 大谷紀子
    • Journal Title

      人工知能学会第29回全国大会論文集

      Volume: -

    • NAID

      130007424952

    • Related Report
      2014 Research-status Report
    • Acknowledgement Compliant
  • [Journal Article] Symbiotic Evolution to Generate Chord Progression Consisting of Four Parts for a Music Composition System2014

    • Author(s)
      Noriko Otani, Shoko Shirakawa, Masayuki Numao
    • Journal Title

      PRICAI 2014: Trends in Artificial Intelligence

      Volume: LNAI 8862 Pages: 849-855

    • DOI

      10.1007/978-3-319-13560-1_69

    • ISBN
      9783319135595, 9783319135601
    • Related Report
      2014 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] 感性に基づく楽曲生成のためのコードネーム推定2017

    • Author(s)
      土屋直樹, 大谷紀子, 沼尾正行
    • Organizer
      情報処理学会第79回全国大会
    • Place of Presentation
      名古屋大学(愛知県)
    • Year and Date
      2017-03-16
    • Related Report
      2016 Research-status Report
  • [Presentation] アーティストの創作活動における自動作曲システムの活用-『akaihane』のケーススタディ-2017

    • Author(s)
      大谷紀子, 岡部大介, 白井大輔, 高田志麻, 沼尾正行
    • Organizer
      情報処理学会第79回全国大会
    • Place of Presentation
      名古屋大学(愛知県)
    • Year and Date
      2017-03-16
    • Related Report
      2016 Research-status Report
  • [Presentation] A System for Composing Music in Collaboration with Musicians2017

    • Author(s)
      N.Otani, D.Okabe, M.Numao
    • Organizer
      The fifth AAAI Conference on Human Computation and Crowdsourcing
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 個人の嗜好に合わせた高揚曲の自動生成2015

    • Author(s)
      大谷紀子, 饗庭絵里子, 沼尾正行
    • Organizer
      情報処理学会第11回デジタルコンテンツクリエーション研究会
    • Place of Presentation
      多摩美術大学(東京都)
    • Year and Date
      2015-11-09
    • Related Report
      2015 Research-status Report
  • [Presentation] Training Dataset to Induce the Personal Sensibility Model for a Music Composition System2015

    • Author(s)
      N.Tsuchiya, T.Koori, M.Numao, N.Otani
    • Organizer
      International Workshop on Informatics 2015
    • Place of Presentation
      アムステルダム(オランダ)
    • Year and Date
      2015-09-06
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Presentation] 自動作曲のための感性モデル獲得手法の検討2015

    • Author(s)
      土屋直樹, 郡孝実, 沼尾正行, 大谷紀子
    • Organizer
      人工知能学会第29回全国大会
    • Place of Presentation
      はこだて未来大学(北海道)
    • Year and Date
      2015-05-30 – 2015-06-02
    • Related Report
      2014 Research-status Report
  • [Presentation] Symbiotic Evolution to Generate Chord Progression Consisting of Four Parts for a Music Composition System2014

    • Author(s)
      Noriko Otani, Shoko Shirakawa, Masayuki Numao
    • Organizer
      The 13th Pacific Rim International Conference on Artificial Intelligence
    • Place of Presentation
      ゴールドコースト(オーストラリア)
    • Year and Date
      2014-12-01 – 2014-12-05
    • Related Report
      2014 Research-status Report
  • [Presentation] Design of Populations in Symbiotic Evolution to Generate Chord Progression in Consideration of the Entire Music Structure2014

    • Author(s)
      Noriko Otani, Shoko Shirakawa, Masayuki Numao
    • Organizer
      The 5th International Workshop on Empathic Computing
    • Place of Presentation
      ゴールドコースト(オーストラリア)
    • Year and Date
      2014-12-01
    • Related Report
      2014 Research-status Report
  • [Remarks] 進化計算アルゴリズムに基づく個人の感性を反映した楽曲の自動生成

    • URL

      http://www.yc.tcu.ac.jp/~otani/kaken14-16/documents.html

    • Related Report
      2017 Annual Research Report

URL: 

Published: 2014-04-04   Modified: 2023-03-16  

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