The Use of Deep Learning-Based Intelligent Music Signal Identification and Generation Technology in National Music Teaching.

ABSTRACT: The research expects to explore the application of intelligent music recognition technology in music teaching. Based on the Long Short-Term Memory network knowledge, an algorithm model which can distinguish various music signals and generate various genres of music is designed and implemented. First, by analyzing the application of machine learning and deep learning in the field of music, the algorithm model is designed to realize the function of intelligent music generation, which provides a theoretical basis for relevant research. Then, by selecting massive music data, the music style discrimination and generation model is tested. The experimental results show that when the number of hidden layers of the designed model is 4 and the number of neurons in each layer is 1,024, 512, 256, and

SUBMITTER: Tang H 

PROVIDER: S-EPMC9257106 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature