Title: Emotional experience in ethnic vocal music appreciation reflects AI interactive technology

Authors: Yan Chen

Addresses: Vocal Music Teaching and Research Department, Harbin University, Harbin 150086, Heilongjiang, China

Abstract: This research mainly discusses the important manifestation of the emotional experience in the music appreciation of ethnic vocal music in the AI interactive technology. The system adopts a three-layer BP neural network design wherein the input is the feature vector of the MIDI ethnic instrument music segment, and the output vector represents the music emotion. The music feature extraction module mainly completes the reading and analysis of music fragments in MIDI format, extracts the basic features of music and abstract features such as rhythm, melody, mode, tune, and harmony, and stores the feature information in a dynamic database. In the process of music feature extraction and recognition, the system first reads the note queue and speed information queue of ethnic vocal music in MIDI format, and then analyses and calculates the basic characteristics of music, music mode and melody characteristics, and music rhythm characteristics.

Keywords: AI interaction; emotional experience; music appreciation; BP neural network; music features.

DOI: 10.1504/IJART.2025.150010

International Journal of Arts and Technology, 2025 Vol.15 No.4, pp.343 - 361

Received: 23 Apr 2025
Accepted: 15 May 2025
Published online: 21 Nov 2025 *

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