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

Autor:	Javier Bajo, María Navarro-Cáceres, José A. Castellanos-Garzón
Rok vydání:	2020
Předmět:	Computer Networks and Communications Computer science Artificial immune system Sensory system Cognition 02 engineering and technology medicine.disease Theoretical Computer Science Hardware and Architecture Human–computer interaction 020204 information systems Phenomenon 0202 electrical engineering electronic engineering information engineering medicine Chord (music) 020201 artificial intelligence & image processing Synesthesia Software
Zdroj:	New Generation Computing. 38:531-549
ISSN:	1882-7055 0288-3635
DOI:	10.1007/s00354-020-00100-4
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ea53282ef6842fea70d0817a73889177 https://doi.org/10.1007/s00354-020-00100-4 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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