Abstract

Music, the third art that has accompanied the development of human civilization, has played a vital role in human expression of emotions from ancient times to the present. It has played a vital role in human expression of emotions from ancient times to the present. This study describes three different ways of musical emotional extraction within the current research field: a. Extraction by measuring the physiological characteristics of the subject; b. text feature extraction by analyzing lyrics in songs and c. extraction by analyzing audio features. This paper also discusses the research results of three different groups of researchers to use specific emotions for music creation by designing and applying the GA based on KTH rule system, the mLSMN with logistic regression, and the MAgentM framework. The purpose of this research is to provide reference materials for subsequent researchers through the detailed introduction of the MER method, and to provide industry stakeholders with an outlook for the music industry.

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