Analysis of Multimedia Recognition of Piano Playing Music Based on Fuzzy Neural Network

Abstract

Artistic aspects and creative talents abound in piano playing, making it a sort of unexpected conceptual art. It's a must-have for transporting those luscious piano tones. A striking demonstration of piano playing abilities is the creation of musical emotion and expressiveness. It is important to focus on honing and adapting one's performing abilities while playing the piano. It is completely grounded in the aesthetic qualities of piano playing, guaranteeing the fullness and beauty of the musical performance. The piano music occurs throughout effectiveness even though its basic frequencies vary substantially during the acquisition procedure for the layout. In this study, we suggested a multimedia recognition approach for piano music based on a fuzzy neural network to address the issue of a poor recognition rate. We use a fuzzy neural network with a flexible architecture as a starting point for a program that might teach users to play piano in a variety of genres. A smart mobile application for playing the piano and playing games are developed using the network's differential capabilities. With its ability to fully use the benefits of android's strong voice functionality, this system is a new kind of artificial intelligence (AI) software that combines the training, entertainment, and instruction of the piano with the platform's other strengths. After analyzing research observations, we find that the suggested technique is superior to the standard approach and that it adds some value to the field of multimedia piano recognition.