Title: Design and application of system platform in piano teaching based on feature comparison

Authors: Tingting Rao

Addresses: School of Art, Yangtze University, Jingzhou Hubei 434000, China

Abstract: Traditional piano teaching management is mainly carried out manually, which has problems such as low management efficiency and management confusion, which seriously restricts the development of piano teaching activities. In order to make up for the limitations of piano music teaching materials and the shortage of music teachers in some areas, automatic scoring of computers was introduced into music learning, and a piano music singing system based on feature comparison was developed. The difference between the scoring system and the existing commercial music scoring system on the internet lies in the educational direction of the system, which is mainly reflected in the design and implementation of the feedback evaluation module. The system use melody feature extraction, similarity comparison and pitch data analysis to perform automatic singing scores, locate errors, estimate the cause of errors, and provide learners with detailed feedback and guidance suggestions. Application case studies show that the system has practical value.

Keywords: piano music teaching material; similarity comparison; learning feedback.

DOI: 10.1504/IJCSE.2022.127180

International Journal of Computational Science and Engineering, 2022 Vol.25 No.6, pp.593 - 597

Received: 02 Sep 2020
Accepted: 05 Feb 2021
Published online: 25 Nov 2022 *

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