An Intelligent System to Generate Chord Progressions from Colors with an Artificial Immune System

被引:0
|
作者
María Navarro-Cáceres
José A. Castellanos-Garzón
Javier Bajo
机构
[1] School of Engineering,Computer Sciences Department
[2] University of Edinburgh,Computer Sciences Department
[3] University of Salamanca,undefined
[4] Polytechnic University of Madrid,undefined
来源
New Generation Computing | 2020年 / 38卷
关键词
Synesthesia; Music generation; Chords; Artificial immune system;
D O I
暂无
中图分类号
学科分类号
摘要
Synesthesia is a neurological phenomenon in which stimulation of one sensory or cognitive pathway leads to automatic, involuntary experiences in a second sensory or cognitive pathway. Many synesthetes used their capabilities as inspiration for their works. Drawing on this phenomenon, this paper presents a model able to create chord progressions using colors as the synesthetic input. In particular, the model extracts sound from colors to create chord progressions by applying an artificial immune system (AIS). The quality of each chord is mapped in the Tonal Interval Space, a geometrical space in which mathematical measures are related to musical properties. The result is an assistive tool that has been evaluated in terms of musical standards and usefulness for the users.
引用
收藏
页码:531 / 549
页数:18
相关论文
共 50 条
  • [1] An Intelligent System to Generate Chord Progressions from Colors with an Artificial Immune System
    Navarro-Caceres, Maria
    Castellanos-Garzon, Jose A.
    Bajo, Javier
    NEW GENERATION COMPUTING, 2020, 38 (03) : 531 - 549
  • [2] Automatic Generation of Chord Progressions with an Artificial Immune System
    Navarro, Maria
    Caetano, Marcelo
    Bernardes, Gilberto
    de Castro, Leandro Nunes
    Manuel Corchado, Juan
    EVOLUTIONARY AND BIOLOGICALLY INSPIRED MUSIC, SOUND, ART AND DESIGN (EVOMUSART 2015), 2015, 9027 : 175 - 186
  • [3] ChordAIS: An assistive system for the generation of chord progressions with an artificial immune system
    Navarro-Caceres, Maria
    Caetano, Marcelo
    Bernardes, Gilberto
    de Castro, Leandro Nunes
    SWARM AND EVOLUTIONARY COMPUTATION, 2019, 50
  • [4] Assistive Model to Generate Chord Progressions Using Genetic Programming with Artificial Immune Properties
    Navarro-Caceres, Maria
    Merchan Sanchez-Jara, Javier Felix
    Quietinho Leithardt, Valderi Reis
    Garcia-Ovejero, Raul
    APPLIED SCIENCES-BASEL, 2020, 10 (17):
  • [5] Artificial Immune Intelligent Maintenance System
    Zuccolotto, Marcos
    2014 12TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2014, : 795 - 798
  • [6] Controlling the heating system of an intelligent home with an artificial immune system
    Lehmann, Martin
    Dilger, Werner
    ARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS, 2006, 4163 : 335 - 348
  • [7] An Artificial Immune System Based on Intelligent Agents
    Ren, Changning
    Peng, Zhihao
    Zheng, Dongxia
    ADVANCED RESEARCH ON MATERIAL SCIENCE, ENVIROMENT SCIENCE AND COMPUTER SCIENCE III, 2014, 886 : 673 - 676
  • [8] An artificial immune system model for intelligent agents
    King, RL
    Russ, SH
    Lambert, AB
    Reese, DS
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2001, 17 (04): : 335 - 343
  • [9] Intelligent Techniques in Teaching Science of Artificial Immune System
    Gong, Tao
    Zhou, Jiajia
    Qi, Lei
    MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, PTS 1 AND 2, 2011, 48-49 : 637 - +
  • [10] A strategic behavioral-based intelligent transport system with artificial immune system
    Lau, HYK
    Wong, VWK
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 3909 - 3914