{"title":"基于音符识别的吉他训练手机应用程序","authors":"Meriç Turan, Çagatay Demirel, G. Ince","doi":"10.1109/SIU.2017.7960641","DOIUrl":null,"url":null,"abstract":"In our study, a mobile application is developed which is able to capture the guitar sounds played in real time and detect notes using signal processing techniques. In this application, user's performance is evaluated by comparing the played and the expected notes for any chosen song. Additionally, songs can be prepared manually within the application or automatically by transforming guitar notes provided by Musical Intrument Digital Interface (MIDI) files into guitar tabs. Our application is tested with different users and difficulty levels, and effectiveness of the application is verified.","PeriodicalId":217576,"journal":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Note recognition-based mobile application for guitar training\",\"authors\":\"Meriç Turan, Çagatay Demirel, G. Ince\",\"doi\":\"10.1109/SIU.2017.7960641\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In our study, a mobile application is developed which is able to capture the guitar sounds played in real time and detect notes using signal processing techniques. In this application, user's performance is evaluated by comparing the played and the expected notes for any chosen song. Additionally, songs can be prepared manually within the application or automatically by transforming guitar notes provided by Musical Intrument Digital Interface (MIDI) files into guitar tabs. Our application is tested with different users and difficulty levels, and effectiveness of the application is verified.\",\"PeriodicalId\":217576,\"journal\":{\"name\":\"2017 25th Signal Processing and Communications Applications Conference (SIU)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 25th Signal Processing and Communications Applications Conference (SIU)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2017.7960641\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 25th Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2017.7960641","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Note recognition-based mobile application for guitar training
In our study, a mobile application is developed which is able to capture the guitar sounds played in real time and detect notes using signal processing techniques. In this application, user's performance is evaluated by comparing the played and the expected notes for any chosen song. Additionally, songs can be prepared manually within the application or automatically by transforming guitar notes provided by Musical Intrument Digital Interface (MIDI) files into guitar tabs. Our application is tested with different users and difficulty levels, and effectiveness of the application is verified.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
