DocumentCode
1948030
Title
Music emotional design by evolutionary algorithms
Author
Kejun, Zhang ; Shouqian, Sun
Author_Institution
Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
Volume
1
fYear
2010
fDate
17-19 Nov. 2010
Firstpage
785
Lastpage
788
Abstract
Music emotional design has been studied for many years, and there has been a growing interest in analyzing and design emotion in music by the evolutionary algorithms. Therefore, it´s necessary to organize and categorize representative literature. The study presents an exhaustive survey of studies on one or more aspects of music emotional design by the evolutionary algorithms. In doing so, a classification of the literature based on the goal of what the studies want to achieve is developed. Such a classification not only highlights the significant results and unifies existing work, but also provides a foundation for future research in Music Emotional Design by the evolutionary algorithms.
Keywords
emotion recognition; evolutionary computation; music; evolutionary algorithms; music emotion recognition; music emotional design; Algorithm design and analysis; Classification algorithms; Emotion recognition; Evolutionary algorithms; Music emotion recognition; Music emotional design;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Industrial Design & Conceptual Design (CAIDCD), 2010 IEEE 11th International Conference on
Conference_Location
Yiwu
Print_ISBN
978-1-4244-7973-3
Type
conf
DOI
10.1109/CAIDCD.2010.5681231
Filename
5681231
Link To Document