卷积神经网络在OMR音乐元素识别中的应用

Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021) Pub Date : 2021-10-24 DOI:10.5753/sbcm.2021.19452

Jenaro Augusto Barbosa, E. B. D. Santos

{"title":"卷积神经网络在OMR音乐元素识别中的应用","authors":"Jenaro Augusto Barbosa, E. B. D. Santos","doi":"10.5753/sbcm.2021.19452","DOIUrl":null,"url":null,"abstract":"Optical music recognition (OMR) is an important tool to recognize a scanned page of music sheet automatically, which has been applied to preserving music scores. In this paper, we present a comparative study among Convolutional Neural Network (CNN) and state-of-the-art classiers to classify musical symbols. The initial results show that the CNN is promising in this task according to provided information.","PeriodicalId":292360,"journal":{"name":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CREATES - Convolutional Neural Network applied to Identification of Musical Elements in OMR\",\"authors\":\"Jenaro Augusto Barbosa, E. B. D. Santos\",\"doi\":\"10.5753/sbcm.2021.19452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optical music recognition (OMR) is an important tool to recognize a scanned page of music sheet automatically, which has been applied to preserving music scores. In this paper, we present a comparative study among Convolutional Neural Network (CNN) and state-of-the-art classiers to classify musical symbols. The initial results show that the CNN is promising in this task according to provided information.\",\"PeriodicalId\":292360,\"journal\":{\"name\":\"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5753/sbcm.2021.19452\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/sbcm.2021.19452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

光学音乐识别(OMR)是一种自动识别乐谱扫描页的重要工具，已应用于乐谱的保存。在本文中，我们提出了卷积神经网络(CNN)和最先进的分类器对音乐符号进行分类的比较研究。初步结果表明，根据所提供的信息，CNN在这个任务中是有希望的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

CREATES - Convolutional Neural Network applied to Identification of Musical Elements in OMR

Optical music recognition (OMR) is an important tool to recognize a scanned page of music sheet automatically, which has been applied to preserving music scores. In this paper, we present a comparative study among Convolutional Neural Network (CNN) and state-of-the-art classiers to classify musical symbols. The initial results show that the CNN is promising in this task according to provided information.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Anais do XVIII Simpósio Brasileiro de Computação Musical (SBCM 2021)

自引率

0.00%

发文量