Abstract
Computer-aided composition is an attempt to use a formalized process to minimize human (or composer) involvement in the creation of music using a computer. Exploring the problem of computer-aided composition can enable us to understand and simulate the thinking mode of composers in the special process of music creation, which is an important application of artificial intelligence in the field of art. Feature extraction on the MIDI files has been introduced in this paper. Based on the genetic algorithm in this paper, a platform of the sampling coding method to optimize the character representation has solved the traditional algorithmic music composition study. Music directly from the pitch and duration can be derived from the characteristics, respectively, in the form of a one-hot encoding independently said. Failure to the rhythm of the characterization of the pitch and duration are problems that lead to the inability of compositional networks to learn musical styles better. Rhythm is the combination of pitch and time values according to certain rules. The rhythm of music affects the overall style of music. By associating the pitch and time value coding, the rhythm style of music can be preserved better so that the composition network can learn the style characteristics of music more easily.
Highlights
Music is a complex art activity, which can purify people’s hearts, enlighten wisdom, and adjust emotions, and it gradually has become an indispensable part of our lives [1]
Artificial intelligence composition greatly lowers the threshold of music creation, which makes nonprofessionals participate in music creation even if they do not know musical instruments
Chinese folk music has a long history of thousands of years, rich in music resources and various forms, which can be described as an ideal material library for artificial intelligence composition
Summary
Music is a complex art activity, which can purify people’s hearts, enlighten wisdom, and adjust emotions, and it gradually has become an indispensable part of our lives [1]. Ere are relatively many researches on the application of artificial intelligence composition technology in Western music, while there are few researches on the automatic creation of Chinese folk music, which is still in its infancy in China at present. Chinese folk music has a long history of thousands of years, rich in music resources and various forms, which can be described as an ideal material library for artificial intelligence composition. In the future, according to the needs of music creation, we can analyze the characteristics of national music, dig and learn the laws of national music creation by using artificial intelligence technologies, such as deep learning and machine learning, Computational Intelligence and Neuroscience and build an automatic composition system with Chinese national music characteristics, which has important practical significance for the development and promotion of Chinese national music culture [3]
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