{"title":"使用神经网络进行自动说话人识别:一种实用的方法","authors":"Ryan Pinto, H.L.C.P. Pinto, L. Calôba","doi":"10.1109/MWSCAS.1995.510281","DOIUrl":null,"url":null,"abstract":"This paper describes an automatic speaker recognition method for telephone speech, using acoustic processing of a single trisyllabic Portuguese word. Cepstrum coefficients are extracted from the linear predictive coefficients and no further processing is needed. In this method, the traditional classification method (non-Euclidean distance measurement) was efficiently substituted by a multi-layer neural network with encouraging results.","PeriodicalId":165081,"journal":{"name":"38th Midwest Symposium on Circuits and Systems. Proceedings","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Using neural networks for automatic speaker recognition: a practical approach\",\"authors\":\"Ryan Pinto, H.L.C.P. Pinto, L. Calôba\",\"doi\":\"10.1109/MWSCAS.1995.510281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an automatic speaker recognition method for telephone speech, using acoustic processing of a single trisyllabic Portuguese word. Cepstrum coefficients are extracted from the linear predictive coefficients and no further processing is needed. In this method, the traditional classification method (non-Euclidean distance measurement) was efficiently substituted by a multi-layer neural network with encouraging results.\",\"PeriodicalId\":165081,\"journal\":{\"name\":\"38th Midwest Symposium on Circuits and Systems. Proceedings\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"38th Midwest Symposium on Circuits and Systems. Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSCAS.1995.510281\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"38th Midwest Symposium on Circuits and Systems. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.1995.510281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using neural networks for automatic speaker recognition: a practical approach
This paper describes an automatic speaker recognition method for telephone speech, using acoustic processing of a single trisyllabic Portuguese word. Cepstrum coefficients are extracted from the linear predictive coefficients and no further processing is needed. In this method, the traditional classification method (non-Euclidean distance measurement) was efficiently substituted by a multi-layer neural network with encouraging results.
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