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International Journal of Art Innovation and Development, 2023, 4(1); doi: 10.38007/IJAID.2023.040108.

The Design of a Music Scene Recognition Method and System Based on Artificial Intelligence

Author(s)

Yang Nan

Corresponding Author:
Yang Nan
Affiliation(s)

Jinzhong University, Jinzhong, China

Philippine Christian University, Manila, Philippine

Abstract

The main melodic information of music can be used for content-based audio retrieval, management as features of audio files and to meet the business needs of specific departments and scenarios. The purpose of this paper is to study music scene recognition methods and system design based on artificial intelligence. The overall system architecture design is integrated by analysing the current stage of music scene recognition, proposing a modelling approach for music scene recognition system for music scene recognition needs and a CNN-based music scene recognition approach. A music recognition module was implemented based on the music scene recognition framework, and the generic scene text recognition system was tested. The experimental results show that the average time consumed for model computational efficiency is 60ms and the cpu resource consumption is maintained at about 28%.

Keywords

Artificial Intelligence, Music Scene, Scene Recognition, System Design

Cite This Paper

Yang Nan. The Design of a Music Scene Recognition Method and System Based on Artificial Intelligence. International Journal of Art Innovation and Development (2023), Vol. 4, Issue 1: 102-109. https://doi.org/10.38007/IJAID.2023.040108.

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