DocumentCode :
2496598
Title :
Research on music emotion cognition model based on linguistic value computing
Author :
Zhu, Bin ; Liu, Tao ; Tang, Yongchuan
Author_Institution :
Coll. of Inf. Sci. of Technol., Zhejiang Shuren Univ., Hangzhou
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
7355
Lastpage :
7361
Abstract :
Research on musicpsilas affective computing model plays an important role in digital entertainment and harmonious human-machine interactive, and belongs to the field of artificial emotion. For modeling the music affective. There are two major insufficients in current researches such as: lack of knowledge expression and generalization. This paper presents a general model building process, and designs a cognizing test based on semantic difference for Chinese folk music. According to the studying about the data of experiment and relied on the GEP based on dynamic mutation operator, a model tally with the linguistic modeling theory is constructed, which is consistent with psychological consistent pattern of music emotion.
Keywords :
emotion recognition; linguistics; man-machine systems; music; affective computing; artificial emotion; digital entertainment; harmonious human-machine interactive; linguistic value computing; music emotion cognition; Automation; Buildings; Cognition; Computer science; Educational institutions; Gene expression; Information science; Intelligent control; Man machine systems; Support vector machines; Gene Expression Programming; linguistic value computing; music emotional vector; semantic difference method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594063
Filename :
4594063
Link To Document :
بازگشت