Music Composition and Emotion Recognition Using Big Data Technology and Neural Network Algorithm

Abstract

To implement a mature music composition model for Chinese users, this paper analyzes the music composition and emotion recognition of composition content through big data technology and Neural Network (NN) algorithm. First, through a brief analysis of the current music composition style, a new Music Composition Neural Network (MCNN) structure is proposed, which adjusts the probability distribution of the Long Short-Term Memory (LSTM) generation network by constructing a reasonable Reward function. Meanwhile, the rules of music theory are used to restrict the generation of music style and realize the intelligent generation of specific style music. Afterward, the generated music composition signal is analyzed from the time-frequency domain, frequency domain, nonlinearity, and time domain. Finally, the emotion feature recognition and extraction of music composition content are realized. Experiments show that: when the iteration times of the function increase, the number of weight parameter adjustments and learning ability will increase, and thus the accuracy of the model for music composition can be greatly improved. Meanwhile, when the iteration times increases, the loss function will decrease slowly. Moreover, the music composition generated through the proposed model includes the following four aspects: sadness, joy, loneliness, and relaxation. The research results can promote music composition intellectualization and impacts traditional music composition mode.

Analysis of the implementation methods for emotion recognition in music based on machine learning

“…Yu's research method also uses the neural network (NN) algorithm and LSTM model, uses music theory laws as filter restrictions, improves the accuracy of model creation through continuous iteration, and generates images that include sadness, happiness, loneliness, and relaxation. music [14]. These technologies can be used to provide soundtrack generation systems for movies, games, audiobooks, etc., which is an intelligent development of traditional music creation models.…”

An Improved Music Composing Technique Based on Neural Network Model

“…Meanwhile, it enhances the effectiveness of expert song composition and gives music composers a wealth of music materials. Machine learning composition has a variety of applications and may be seen in marketing, social interaction, entertainment, and other situations [7]. Deep learning techniques with improved artificial intelligence performance in image identification, video detection, natural language processing, and audio processing are being explored rapidly [8].…”