DAMUS: A COLLABORATIVE SYSTEM FOR CHOREOGRAPHY AND MUSIC COMPOSITION

被引:0
|
作者
Zhou, Tiange [1 ,2 ]
Yu, Borou [1 ,3 ,4 ]
Min, Jiajian [1 ,4 ]
Wang, Zeyu [1 ,5 ]
机构
[1] Beijing Normal Univ, Sch Future Design, Beijing, Peoples R China
[2] BNU, Future Design Innovat Ctr, Tamaka, India
[3] Harvard Univ, Cambridge, MA USA
[4] MYStudio LLC, Haddon Township, NJ USA
[5] Yale Univ, New Haven, CT USA
关键词
choreography; music composition; collaborative system;
D O I
10.1109/ICMEW56448.2022.9859441
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Throughout the history of dance and music collaborations, composers and choreographers have always engaged in separate workflows. Usually, composers and choreographers complete the music and choreograph the moves separately, where the lack of mutual understanding of their artistic approaches results in a long production time. There is a strong need in the performance industry to reduce the time for establishing a collaborative foundation, allowing for more productive creations. We propose DAMUS, a work-in-progress collaborative system for choreography and music composition, in order to reduce production time and boost productivity. DAMUS is composed of a dance module DA and a music module MUS. DA translates dance motion into MoCap data, Labanotation, and number notation, and sets rules of variations for choreography. MUS produces musical materials that fit the tempo and rhythm of specific dance genres or moves. We applied our system prototype to case studies in three different genres. In the future, we plan to pursue more genres and further develop DAMUS with evolutionary computation and style transfer.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] A system for collaborative music composition over the web
    Jordà, S
    Wüst, O
    [J]. 12TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2001, : 537 - 542
  • [2] Dual Learning Music Composition and Dance Choreography
    Wu, Shuang
    Liu, Zhenguang
    Lu, Shijian
    Cheng, Li
    [J]. PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021, 2021, : 3746 - 3754
  • [3] Collaborative choreography
    Jaroslow, Risa
    [J]. DANCE MAGAZINE, 2007, 81 (08): : 12 - 12
  • [4] A Knowledge-Based Intelligent System for Distributed and Collaborative Choreography
    Du, Xinle
    Ma, Haoqin
    Wang, Hongwei
    [J]. INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2017, PT I, 2017, 10462 : 617 - 627
  • [5] Collaborative Composition and Urban Popular Music in Digital Music Didactics
    Merchan-Sanchez-Jara, Javier F.
    Gonzalez-Gutierrez, Sara
    [J]. EDUCATION SCIENCES, 2023, 13 (08):
  • [6] Collaborative Music Composition Using Cloud Tools
    Morandi, Marco
    [J]. ELML 2017: THE NINTH INTERNATIONAL CONFERENCE ON MOBILE, HYBRID, AND ON-LINE LEARNING, 2017, : 84 - 89
  • [7] Assessing a Collaborative Online Environment for Music Composition
    Biasutti, Michele
    [J]. EDUCATIONAL TECHNOLOGY & SOCIETY, 2015, 18 (03): : 49 - 63
  • [8] Intention and Reception of Music for Choreography
    Meschini, Fabrizio
    Payri, Bias
    [J]. SITUARTE, 2013, 8 (15): : 29 - 39
  • [9] MINIMALIST MUSIC FOR MAXIMUM CHOREOGRAPHY
    KOBLITZ, D
    [J]. DANCE MAGAZINE, 1985, 59 (02): : 52 - 55
  • [10] Collaborative Filtering for Music Recommender System
    Shakirova, Elena
    [J]. PROCEEDINGS OF THE 2017 IEEE RUSSIA SECTION YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING CONFERENCE (2017 ELCONRUS), 2017, : 548 - 550