Research on Music Emotion Intelligent Recognition and Classification Algorithm in Music Performance System

Abstract

The music performance system works by identifying the emotional elements of music to control the lighting changes. However, if there is a recognition error, a good stage effect will not be able to create. Therefore, this paper proposes an intelligent music emotion recognition and classification algorithm in the music performance system. The first part of the algorithm is to analyze the emotional features of music, including acoustic features, melody features, and audio features. Then, the three kinds of features are combined together to form a feature vector set. In the latter part of the algorithm, it divides the feature vector set into training samples and test samples. The training samples are trained by using recognition and classification model based on the neural network. And then, the testing samples are input into the trained model, which is aiming to realize the intelligent recognition and classification of music emotion. The result shows that the kappa coefficient k values calculated by the proposed algorithm are greater than 0.75, which indicates that the recognition and classification results are consistent with the actual results, and the accuracy of recognition and classification is high. So, the research purpose is achieved.

[Retracted] A Multiperson Pose Estimation Method Using Depthwise Separable Convolutions and Feature Pyramid Network

“…Human body pose estimation is based on human bone joint points (key points) as the research object by detecting the position information of the joint points, estimating the connection between the joint points, and then reconstructing the method of human limbs [ 1 ]. It is the basic link to realize tasks such as behavior recognition [ 2 , 3 ], posture tracking [ 4 , 5 ], image generation [ 6 ], human-computer interaction [ 7 ], and emotion recognition [ 8 ], and related research has received extensive attention. However, due to crowded background, body occlusion, motion blur, invisible key points, etc., human pose estimation is very challenging.…”

Design of intelligent evaluation algorithm for music word and song matching based on neural network

“…That is, when listening to happy music, it is easy to distinguish the music as happy music without ambiguity. At present, emotion-based music retrieval mainly obtains the emotional information of music from its own style, melody, rhythm, timbre, etc., without using a large number of emotional tag information in user tags 7 .…”

Research on Role Orientation and Situation Construction of Contextualized Music Performance in the Background of Artificial Intelligence

“…Different chords and the main theme together can produce different emotions. But generally speaking, the main melody is the part that plays the most crucial role in the music's emotion, such as rhythm, beat, tempo, tonality, melodic line direction and so on, all of which play vital role in emotion of contextualized music performance [13].…”

“…Jinlan Duan, Qi Zhong and Hao Fan. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] …”