Title: Personalised music experience based on fuzzy music emotion analysis and intelligent recommendation

Authors: Qin Xie; Ya Gao

Addresses: Zunyi Normal College, Zunyi, China ' Lanzhou City University, Lanzhou, China

Abstract: Music has a tremendous influence on both the creation of things and the lives of persons in a big degree via its influence. There has been a significant rise in the occurrence of musical compositions. There is an increasing need for the organisation, classification, and retrieval of musical material. To satisfy the important particular requirements of customers, it is necessary to pay a higher amount of attention to the emotional expressions of artists as well as the psychological characteristics of music. In this article, we attempt a different way to classifying the feelings that are evoked by music. This technique calculates the probability that each individual portion of a song corresponds to a certain category of feelings for each and every passage of music. Two different fuzzy classifiers are used in order to accomplish the goal of giving an evaluation of the degree to which the emotion is present.

Keywords: music emotion recognition; fuzzy classifiers; emotion prediction; analysis; intelligent.

DOI: 10.1504/IJART.2025.147854

International Journal of Arts and Technology, 2025 Vol.15 No.3, pp.241 - 256

Received: 12 Feb 2024
Accepted: 07 Dec 2024
Published online: 04 Aug 2025 *