Digital Music Creation System Based on Recursive Neural Network Using AI Algorithm
TaoZhang
Digital Signal Processing and Artificial Intelligence for Automatic Learning, Vol. 3, No. 3, 2024.
DOI: https://doi.org/10.6025/dspaial/2024/3/3/83-89
Link: https://www.dline.info/dspai/fulltext/v3n3/dspaiv3n3_1.pdf
Abstract:
In recent years, the advancement of artificial intelligence technology has become a
significant driving force for digital music creation, attracting widespread attention.
Compared to the high cost and uncertain timing of manual creation, the extreme
cost-effectiveness of AI music can effectively help developers reduce costs and
increase efficiency. Therefore, the automation of digital music creation has broad
applications and significance. The recursive neural network is an artificial intelligence
algorithm based on neural networks, mainly with a loop structure, that can adaptively
process sequence data. In a digital music creation system, recursive neural networks
can predict and generate note sequences, thereby achieving automated music
creation. Various factors, such as the quality of training data, the settings of model
parameters, and the stylistic characteristics of the music influence the predictive
results of recursive neural networks. Therefore, meticulous parameter tuning and
optimization need to be conducted for different application scenarios.