Title :
Music emotion cognition model and interactive technology
Author_Institution :
Chengdu Univ., Chengdu, China
Abstract :
As an art, music is an indispensable part of human life. In all ages, music has always been a kind of special channel to express human emotion. So analysis for music emotion has become an important topic. Music emotion cognition model and interactive technology research is an important part of human-computer interaction, multimedia technology and computer music research. It belongs to the category of artificial emotion research, and is of great significance to promote digital media and digital entertainment product´s emotion interaction ability and promote the emotional human-computer interaction research. This paper is a multidisciplinary-cross research work of computer application, music aesthetics, artificial intelligence, cognitive psychology and so on. It puts forward a kind of automatic identification model using the BP neural network algorithm, and briefly introduces the basic principle of the model.
Keywords :
backpropagation; cognition; entertainment; human computer interaction; interactive systems; multimedia systems; music; neural nets; BP neural network algorithm; art; artificial emotion research; automatic identification model; computer music research; digital entertainment product emotion interaction ability; digital media; human-computer interaction; interactive technology; multimedia technology; music emotion cognition model; Analytical models; Cognition; Computational modeling; Computers; Emotion recognition; Mathematical model; Psychology; BP Neural Network; Main Melody Music Emotion Recognition Technology; Music Emotion Analysis; Music Emotion Recognition;
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/IWECA.2014.6845608