{"title":"Recognition of notational notation based on convolutional neural network","authors":"Zhaoyong Fan, Shuang Chen","doi":"10.1117/12.2653861","DOIUrl":null,"url":null,"abstract":"Aiming at the complex recognition process of numbered musical notes in traditional methods and the low recognition accuracy, a method for recognition of musical notes based on convolutional neural network is proposed. Based on the structural characteristics of the notational notes, a single-input and three-output note recognition network model is established. The convolutional neural network is trained using sample images containing note information labels to obtain a note image recognition model. The training results show that the accuracy of the model and the change trend of the loss value perform well. In order to test the practicability of this method, the numbered musical notes of some songs were recognized and compared with other methods. The results show that this method has high recognition accuracy and fast recognition speed, which proves the validity and practicality of the recognition model.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JITeCS Journal of Information Technology and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2653861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the complex recognition process of numbered musical notes in traditional methods and the low recognition accuracy, a method for recognition of musical notes based on convolutional neural network is proposed. Based on the structural characteristics of the notational notes, a single-input and three-output note recognition network model is established. The convolutional neural network is trained using sample images containing note information labels to obtain a note image recognition model. The training results show that the accuracy of the model and the change trend of the loss value perform well. In order to test the practicability of this method, the numbered musical notes of some songs were recognized and compared with other methods. The results show that this method has high recognition accuracy and fast recognition speed, which proves the validity and practicality of the recognition model.