{"title":"具有相关熵的音乐信号基频跟踪","authors":"M. E. Ozbek, F. Savacı","doi":"10.1109/SIU.2009.5136357","DOIUrl":null,"url":null,"abstract":"In this work, the fundamental frequencies of the musical signals are tracked for transcription. For this purpose, it is shown that the correntropy function can be used like the autocorrelation function for finding the fundamental frequencies of signals. The successfulness of the method is evaluated by comparing with the YIN algorithm for different note and melody samples. The correntropy function is shown to be successful as the YIN algorithm.","PeriodicalId":219938,"journal":{"name":"2009 IEEE 17th Signal Processing and Communications Applications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fundamental frequency tracking of musical signals with correntropy\",\"authors\":\"M. E. Ozbek, F. Savacı\",\"doi\":\"10.1109/SIU.2009.5136357\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, the fundamental frequencies of the musical signals are tracked for transcription. For this purpose, it is shown that the correntropy function can be used like the autocorrelation function for finding the fundamental frequencies of signals. The successfulness of the method is evaluated by comparing with the YIN algorithm for different note and melody samples. The correntropy function is shown to be successful as the YIN algorithm.\",\"PeriodicalId\":219938,\"journal\":{\"name\":\"2009 IEEE 17th Signal Processing and Communications Applications Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE 17th Signal Processing and Communications Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2009.5136357\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE 17th Signal Processing and Communications Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2009.5136357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fundamental frequency tracking of musical signals with correntropy
In this work, the fundamental frequencies of the musical signals are tracked for transcription. For this purpose, it is shown that the correntropy function can be used like the autocorrelation function for finding the fundamental frequencies of signals. The successfulness of the method is evaluated by comparing with the YIN algorithm for different note and melody samples. The correntropy function is shown to be successful as the YIN algorithm.