Application of Emotion Cognitive Model in Interactive National Music Education

Abstract

Musical emotion cognition can analyze the connotation of music on the semantic level, so it plays a significant role in human-computer interaction, multimedia music teaching and computer music research. This paper proposes the emotion cognitive model based on Hervner emotion-ring theory, and establishes a musical feature space with 10 description indexes by using the emotion recognition evaluation method. In order to verify the proposed model, we design a music emotion cognition experiment. Through the simulation calculation data and experimental data, it is found that the vector distance is less than 0.035, which is in line with the error requirements. Finally, we apply the cognitive model to the interactive national music education platform, realizing the accurate search of personalized music.