{"title":"语音峰频率跟踪","authors":"I. Ozbek, M. Demirekler","doi":"10.1109/SIU.2006.1659794","DOIUrl":null,"url":null,"abstract":"This study is about tracking of formant frequencies using Kalman filtering. Assuming that the formant frequencies are changing in time slowly, it is possible to model their behaviors as outputs of a dynamic system and then track them using Kalman filtering approach. Tracking system considers also the orders and possible intervals of each formant frequency","PeriodicalId":415037,"journal":{"name":"2006 IEEE 14th Signal Processing and Communications Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Tracking of Speech Formant Frequencies\",\"authors\":\"I. Ozbek, M. Demirekler\",\"doi\":\"10.1109/SIU.2006.1659794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study is about tracking of formant frequencies using Kalman filtering. Assuming that the formant frequencies are changing in time slowly, it is possible to model their behaviors as outputs of a dynamic system and then track them using Kalman filtering approach. Tracking system considers also the orders and possible intervals of each formant frequency\",\"PeriodicalId\":415037,\"journal\":{\"name\":\"2006 IEEE 14th Signal Processing and Communications Applications\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE 14th Signal Processing and Communications Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2006.1659794\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE 14th Signal Processing and Communications Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2006.1659794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This study is about tracking of formant frequencies using Kalman filtering. Assuming that the formant frequencies are changing in time slowly, it is possible to model their behaviors as outputs of a dynamic system and then track them using Kalman filtering approach. Tracking system considers also the orders and possible intervals of each formant frequency