Author(s)

Yang Lijin ¹

Affiliation(s)

¹ Krirk University, Bangkok, 10220, Thailand

Corresponding Author

Yang Lijin

ABSTRACT

This paper discusses the fusion and application of music emotion recognition technology and artificial intelligence (AI) in music education. With the rapid development of artificial intelligence technology, its application is increasingly widely used in the field of education, especially in music education. AI not only improves teaching efficiency, but also provides students with a more personalized and efficient learning experience. As an important branch of AI, music emotion recognition technology can accurately identify and interpret the emotion and artistic conception expressed by analyzing the melody, rhythm and harmony elements in music works, which is of great significance for students to deeply understand the connotation and essence of music works in the process of music appreciation and learning. This paper analyzes the current situation, advantages and challenges of the integration of music emotion recognition and AI in music education, and puts forward corresponding strategies and suggestions, aiming to provide theoretical reference and practical guidance for innovative practice in the field of music education.

KEYWORDS

Music emotion recognition; artificial intelligence; music education; personalized learning

CITE THIS PAPER

Yang Lijin, The fusion of musical emotion recognition and artificial intelligence in music education. Art and Performance Letters (2025) Vol. 6: 48-54. DOI: http://dx.doi.org/10.23977/artpl.2025.060106.

REFERENCES

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