Logo image
Fusing Flamenco and Argentine Tango by evolutionary composition
Conference paper

Fusing Flamenco and Argentine Tango by evolutionary composition

Chien-Hung Liu and Chuan-Kang Ting
2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings, pp.2645-2652
07/2017

Abstract

Argentine Tango Evolutionary computation Flamenco Genetic algorithm Music composition Music theory Artificial Intelligence Computer Networks and Communications Computer Science Applications Signal Processing
Evolutionary composition has received considerable attention in these years. An automatic composition system based on evolutionary computation is attractive but very challenging because the evaluation function is difficult to design: First, human's evaluation on a composition is subject to personal feeling and preference. Second, different regions form their unique music genres from local customs, lifestyle, or ethnic history. These genres enrich music diversity and human sensation. This study presents an evolutionary composition system to address the above two issues. More specifically, the proposed system adopts general music theory rules as the fundamentals of fitness evaluation, thereby ensuring the basic harmony and consonance. In addition, we explore the specific musical expressions of Flamenco and Argentine Tango, and include their features in the evolutionary composition system to create a fusion. Experimental results show that the generated music is satisfactory and can express the emphases of both Flamenco and Argentine Tango.

Metrics

1 Record Views

Details

Logo image