{"title":"基于重叠子帧的高效KLT说话人识别","authors":"Chin-Ta Chen, Ching-Tai Chiang, Yuan-Hwang Chen","doi":"10.1109/SPAWC.2001.923930","DOIUrl":null,"url":null,"abstract":"This letter integrates the Karhunen-Loeve (KL) transform with the overlapped subframe techniques for efficient speaker identification under an additive noise environment. Based on the overlapped subframe partition method, we present an efficient technique to construct an eigenvector matrix and achieve the advantages of the KL transform technique. Computer simulations demonstrate the effectiveness of the proposed technique.","PeriodicalId":435867,"journal":{"name":"2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient KLT based on overlapped subframes for speaker identification\",\"authors\":\"Chin-Ta Chen, Ching-Tai Chiang, Yuan-Hwang Chen\",\"doi\":\"10.1109/SPAWC.2001.923930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This letter integrates the Karhunen-Loeve (KL) transform with the overlapped subframe techniques for efficient speaker identification under an additive noise environment. Based on the overlapped subframe partition method, we present an efficient technique to construct an eigenvector matrix and achieve the advantages of the KL transform technique. Computer simulations demonstrate the effectiveness of the proposed technique.\",\"PeriodicalId\":435867,\"journal\":{\"name\":\"2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWC.2001.923930\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2001.923930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient KLT based on overlapped subframes for speaker identification
This letter integrates the Karhunen-Loeve (KL) transform with the overlapped subframe techniques for efficient speaker identification under an additive noise environment. Based on the overlapped subframe partition method, we present an efficient technique to construct an eigenvector matrix and achieve the advantages of the KL transform technique. Computer simulations demonstrate the effectiveness of the proposed technique.
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