Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

October 9, 2024


Pages


DOI

Article

Research on the Innovation of Traditional Music Inheritance Mode Supported by Multimedia Technology


Authors

Lili Ma Affiliation:
Conservatory of Music, Pingdingshan University, Pingdingshan, Henan, 467000, China.


Abstract

Traditional music is an important carrier for the development and dissemination of Chinese culture, and this paper aims to use multimedia technology to broaden the inheritance of traditional music and put forward the modernized inheritance of traditional music. In order to solve the limitation of time and space of this inheritance mode, it is proposed to utilize the main melody extraction technology of MIDI music to extract and identify the humming melody for the inheritance mode of traditional music. To facilitate the creation and retrieval of traditional music, a traditional music humming retrieval system based on the CHMM model has been designed by improving the HMM model based on score and audio training. Set the neural network model’s parameter values and bound values and use the multimedia system in teaching to test its effectiveness. The algorithm in this paper stabilizes the extraction error value for MIDI music melody at a value between 0.10 and 0.18. Combined with the school’s use of multimedia inheritance technology for traditional music, more than 70% of the students think that the teaching of traditional music using modern multimedia technology is very good. Only 0.01685 students expressed uncertainty about the significance of multimedia in traditional music teaching. The evolution of multimedia technology in traditional music transmission is evident.


Keywords

Main melody extraction, CHMM modeling, Humming retrieval, Multimedia technology, Traditional music, 97M50


Citation

Ma, L. (2024). Research on the innovation of traditional music inheritance mode supported by multimedia technology. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2932

Published by: Engineering Journals

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