{"title":"一种基于HNM模型的混合基音周期估计方法","authors":"M. Nagy, G. Rozinaj, A. Palenik","doi":"10.1109/ELMAR.2007.4418825","DOIUrl":null,"url":null,"abstract":"Pitch period estimation (also called fundamental frequency estimation) is widely needed in speech processing for many purposes. In our system for prosodic modification of speech, the pitch period estimation is used as a basis for frame length detection. The pitch period estimation method used in the system is a hybrid method that is based on YIN fundamental frequency estimation algorithm and a method for fundamental frequency detection on magnitude of the speech signal. The experiments show, that the method is useful in sinusoidal modeling domain, as in other domains, too.","PeriodicalId":170000,"journal":{"name":"ELMAR 2007","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A hybrid pitch period estimation method based on HNM model\",\"authors\":\"M. Nagy, G. Rozinaj, A. Palenik\",\"doi\":\"10.1109/ELMAR.2007.4418825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pitch period estimation (also called fundamental frequency estimation) is widely needed in speech processing for many purposes. In our system for prosodic modification of speech, the pitch period estimation is used as a basis for frame length detection. The pitch period estimation method used in the system is a hybrid method that is based on YIN fundamental frequency estimation algorithm and a method for fundamental frequency detection on magnitude of the speech signal. The experiments show, that the method is useful in sinusoidal modeling domain, as in other domains, too.\",\"PeriodicalId\":170000,\"journal\":{\"name\":\"ELMAR 2007\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ELMAR 2007\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELMAR.2007.4418825\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ELMAR 2007","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELMAR.2007.4418825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A hybrid pitch period estimation method based on HNM model
Pitch period estimation (also called fundamental frequency estimation) is widely needed in speech processing for many purposes. In our system for prosodic modification of speech, the pitch period estimation is used as a basis for frame length detection. The pitch period estimation method used in the system is a hybrid method that is based on YIN fundamental frequency estimation algorithm and a method for fundamental frequency detection on magnitude of the speech signal. The experiments show, that the method is useful in sinusoidal modeling domain, as in other domains, too.