Chinese lute music score identification method and system based on end-to-end neural network

A neural network and recognition method technology, applied in the field of pipa musical score recognition method and system based on end-to-end neural network, can solve problems such as error-prone, time-consuming and labor-intensive, and achieve the effect of improving accuracy and digital efficiency.

Pending Publication Date: 2022-04-12
XIAMEN UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, manually recording the scores one by one is not only time-consuming and labor-intensive but also error-prone, so there is a need for automatic score recognition
[0003] And in the prior art, there is no method for automatic recognition of pipa music score

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Chinese lute music score identification method and system based on end-to-end neural network
  • Chinese lute music score identification method and system based on end-to-end neural network
  • Chinese lute music score identification method and system based on end-to-end neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The technical solution in the embodiment of the present application, the general idea is as follows: cut the Pipa music score picture by line to obtain several Pipa music score sub-pictures, cut and semantically convert the MusicXML file corresponding to the Pipa music score sub-picture to obtain a semantic file, based on the Pipa music score The sub-pictures and semantic files are used to train the pipa score recognition model, and finally the trained pipa score recognition model is used to automatically recognize the pipa score.

[0047] Please refer to Figure 1 to Figure 3 Shown, a kind of preferred embodiment of the Pipa musical notation recognition method based on end-to-end neural network of the present invention, comprises the following steps:

[0048] Step S10, obtaining a large number of Pipa score pictures and MusicXML files corresponding to each Pipa score picture, and preprocessing each Pipa score picture;

[0049] MusicXML (Music Extensible Markup Languag...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a Chinese lute music score recognition method and system based on an end-to-end neural network in the technical field of music score recognition, and the method comprises the steps: S10, obtaining a large number of Chinese lute music score pictures and MusicXML files corresponding to the Chinese lute music score pictures, and carrying out the preprocessing of the Chinese lute music score pictures; step S20, cutting each music score picture in rows to obtain sub-pictures of the loquat music score, and cutting the corresponding MusicXML file based on the sub-pictures of the loquat music score to obtain MusicXML sub-files; step S30, each MusicXML sub-file is converted into an MEI file, and each MEI file is converted into a semantic file based on a preset semantic dictionary; s40, creating a Chinese lute music score recognition model based on the end-to-end neural network, and training the Chinese lute music score recognition model by using each Chinese lute music score sub-picture and the semantic file; and S50, using the trained Chinese lute music score identification model to carry out Chinese lute music score identification. The method has the advantages that automatic identification of the Chinese lute music score is realized, and the digitalization efficiency of the Chinese lute music score is greatly improved.

Description

technical field [0001] The invention relates to the technical field of musical score recognition, in particular to a method and system for recognizing pipa musical scores based on an end-to-end neural network. Background technique [0002] Music notation is a method of recording music with symbols. Traditionally, music is mostly transmitted through handwritten scores. In order to protect and disseminate musical heritage, it is very important to digitize and preserve music scores. However, manually recording the scores one by one is not only time-consuming and labor-intensive but also error-prone, so there is a need for automatic score recognition. [0003] And in the prior art, there is no method for automatic recognition of pipa music scores. Therefore, how to provide a pipa score recognition method and system based on an end-to-end neural network to realize automatic recognition of pipa scores has become an urgent technical problem to be solved. Contents of the inventio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06V30/418G06V30/304G06V30/16G06V10/74G06K9/62G06N3/04G06N3/08G06F40/242G06F40/30G06F40/143
Inventor 姚俊峰何瑞晨颜彬彬
Owner XIAMEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap