Abstract
As a matter of fact, the music is an important tool and pathway for human emotional communication, with great significance, especially in recent years. However, it should be noted that traditional music production methods require a lot of time, manpower, and funds, and have high costs. With the rapid development of machine learning technology as well as computation ability, the computer automatic composition based on machine learning technology is receiving more and more attention. With this in mind, this study introduces and discusses the automatic emotion recognition and emotion based music generation based on this advanced technology, as well as describes the process involved. According to the analysis, the advanced applications and implementations results have been demonstrated. At the same time, the current limitations as well as the future prospects will be clarified and discussed. Overall, these results shed light on guiding further exploration of machine learning implementations of music composition.
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