<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The purpose of this paper is to analyze MIDI technology for pop music composition and the application of composition in artificial intelligence. Based on deep learning, a SeqVAE-based music melody generation algorithm is designed, the possibility of a pulse neural network-based music melody generation algorithm is explored, and a multi-system interactive pop music composition system is established and tested. This system's accuracy rate for bass and treble recognition was tested to be 4%, 4.1%, 2.47%, and 2.66, respectively, compared to the traditional recognition rate. The recommendation satisfaction rate was 96 when the number of queries was 50, the response speed increase time was less and kept within 3 seconds, and the CPU occupancy rate was within 40%.</p>
</abstract>

The purpose of this paper is to analyze MIDI technology for pop music composition and the application of composition in artificial intelligence. Based on deep learning, a SeqVAE-based music melody generation algorithm is designed, the possibility of a pulse neural network-based music melody generation algorithm is explored, and a multi-system interactive pop music composition system is established and tested. This system's accuracy rate for bass and treble recognition was tested to be 4%, 4.1%, 2.47%, and 2.66, respectively, compared to the traditional recognition rate. The recommendation satisfaction rate was 96 when the number of queries was 50, the response speed increase time was less and kept within 3 seconds, and the CPU occupancy rate was within 40%.

Research on multi-system interactive pop music composition based on artificial intelligence technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The purpose of this paper is to analyze MIDI technology for pop music composition and the application of composition in artificial intelligence. Based on deep...

Research on multi-system interactive pop music composition based on artificial intelligence technology

Online veröffentlicht: 28. Okt. 2023

Seitenbereich: -

Eingereicht: 03. Feb. 2023

Akzeptiert: 08. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00836

Schlüsselwörter
MIDI technology, SeqVAE algorithm, Impulsive neural network, Artificial intelligence, Multi-system interaction

© 2023 Jie Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on multi-system interactive pop music composition based on artificial intelligence technology

Online veröffentlicht: 28. Okt. 2023

Seitenbereich: -

Eingereicht: 03. Feb. 2023

Akzeptiert: 08. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00836

SchlüsselwörterMIDI technology, SeqVAE algorithm, Impulsive neural network, Artificial intelligence, Multi-system interaction

© 2023 Jie Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
MIDI technology, SeqVAE algorithm, Impulsive neural network, Artificial intelligence, Multi-system interaction