{"title":"基于时频分析的基音检测算法","authors":"S. Kwong, W. Gang, C.H. Lee","doi":"10.1109/ICCS.1992.254914","DOIUrl":null,"url":null,"abstract":"A new pitch detection algorithm is presented. A new method is developed to lessen the influence of the cross-term on the performance of traditional time-frequency distribution. The relationship between the time-frequency and the traditional autocorrelation method is also discussed. Experimental results show that this new method can give satisfied estimation of pitch period.<<ETX>>","PeriodicalId":223769,"journal":{"name":"[Proceedings] Singapore ICCS/ISITA `92","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A pitch detection algorithm based on time-frequency analysis\",\"authors\":\"S. Kwong, W. Gang, C.H. Lee\",\"doi\":\"10.1109/ICCS.1992.254914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new pitch detection algorithm is presented. A new method is developed to lessen the influence of the cross-term on the performance of traditional time-frequency distribution. The relationship between the time-frequency and the traditional autocorrelation method is also discussed. Experimental results show that this new method can give satisfied estimation of pitch period.<<ETX>>\",\"PeriodicalId\":223769,\"journal\":{\"name\":\"[Proceedings] Singapore ICCS/ISITA `92\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] Singapore ICCS/ISITA `92\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCS.1992.254914\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] Singapore ICCS/ISITA `92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS.1992.254914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A pitch detection algorithm based on time-frequency analysis
A new pitch detection algorithm is presented. A new method is developed to lessen the influence of the cross-term on the performance of traditional time-frequency distribution. The relationship between the time-frequency and the traditional autocorrelation method is also discussed. Experimental results show that this new method can give satisfied estimation of pitch period.<>