Abstract
As a matter of fact, music emotion recognition based on machine learning has been a trend in recent years. This study describes the analysis of the realization for emotion recognition based on machine learning. In this paper, the study expresses some methods of analyzing the emotion of the music composition. The paper represents some classifier molds that enable us to determine the emotion of the music. It aims to provide readers with a deeper comprehension of the music and composers feelings and to know more about the background of the music. The study may let more people to improve their own ability to appreciate music, if this process has let great amounts of individuals known. It also allows people to have more awareness and feelings with more voices. In this paper, the research will also show some about the evolution and original of the synthesizer. Moreover, the study will go to illustrate this through scientific, real examples and personal experiences and pictures.
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