Automatic composition system and method for note vectors based on contextual information

Abstract

The invention discloses an automatic composition system and method for note vectors based on contextual information, and the method comprises the following steps: firstly carrying out the preprocessing of an MIDI music file through an MIDI music preprocessing module, and extracting a main melody note sequence comprising two phonemes: pitch and pitch; sending the main melody note sequence to a notevector coding module, wherein the module is used for training and generating a note vector with contextual information, the note vector with the contextual information enables subsequent compositionnetwork note prediction accuracy to be improved, and meanwhile the generated note vector is used for representing a main melody note sequence again; then, using the main melody note sequence which isgenerated by the note vector encoding module and represented by note vectors as training data to be sent to the automatic composition network module, wherein the module is used for generating a note sequence to be composed; and finally, restoring the note sequence to be composed into an MIDI format through an MIDI music synthesis and playing module, and playing the note sequence.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an automatic music composition system and method based on context information-based note vectors. Background technique [0002] With the development of economy and society, people put forward higher requirements for spiritual life. In today's society, people's entertainment life is richer and more diverse, and music is a special social ideology, which can not only cultivate sentiment and regulate emotions, but also develop thinking and radiate emotions. , medical care, education and other aspects play an indispensable role. [0003] Composers are constantly trying new techniques and techniques to meet people's new needs. With the development of the mobile Internet, the number of multimedia short video users continues to increase. Numerous short videos, games, animations, etc. require a large number of original compositions to support, and the cost of professional music...

AI Technical Summary

Problems solved by technology

For the automatic composition of niche music, due to the inability to collect enough data sets, even if the composition network is perfectly built, without the support of sufficient data, the composition network cannot learn the context of the notes in the music well, thus The effect of automatic composition is greatly reduced

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