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Research on Automatic Composition and safety of Chinese Guzheng Based on Joint Cross Attention
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Computer music automatic composition not only allows the general public to experience the joy of music creation, but also provides creative inspiration for professionals, greatly reducing the time for music creation. However, there is relatively little research on the use of technological means to create Guzheng music. This paper will conduct research from a new perspective by introducing joint cross attention and automating composition. The first step is to collect Guzheng music data, the second step is to process Guzheng music data, the third step is to extract Guzheng music features, the fourth step is to combine cross attention data processing, and the last step is to automatically predict the work. Through experimental data analysis, it was found that the model quickly converged and reached its peak, meeting the requirements for model migration implementation. After migration, the model can automatically compose music, meeting the needs of ordinary users.
Title: Research on Automatic Composition and safety of Chinese Guzheng Based on Joint Cross Attention
Description:
Computer music automatic composition not only allows the general public to experience the joy of music creation, but also provides creative inspiration for professionals, greatly reducing the time for music creation.
However, there is relatively little research on the use of technological means to create Guzheng music.
This paper will conduct research from a new perspective by introducing joint cross attention and automating composition.
The first step is to collect Guzheng music data, the second step is to process Guzheng music data, the third step is to extract Guzheng music features, the fourth step is to combine cross attention data processing, and the last step is to automatically predict the work.
Through experimental data analysis, it was found that the model quickly converged and reached its peak, meeting the requirements for model migration implementation.
After migration, the model can automatically compose music, meeting the needs of ordinary users.
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