{"title":"塞尔维亚语音位的比较分析","authors":"D. Arsenijević, M. Milosavljevic","doi":"10.1109/NEUREL.2002.1057971","DOIUrl":null,"url":null,"abstract":"2 autoregressive (AR) models of Serbian phonemes are examined in this paper. They are the linear autoregressive model and the nonlinear model realized in a feedforward neural network with one hidden layer. It is shown that both models gave satisfying results.","PeriodicalId":347066,"journal":{"name":"6th Seminar on Neural Network Applications in Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative analysis of Serbian phonemes\",\"authors\":\"D. Arsenijević, M. Milosavljevic\",\"doi\":\"10.1109/NEUREL.2002.1057971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"2 autoregressive (AR) models of Serbian phonemes are examined in this paper. They are the linear autoregressive model and the nonlinear model realized in a feedforward neural network with one hidden layer. It is shown that both models gave satisfying results.\",\"PeriodicalId\":347066,\"journal\":{\"name\":\"6th Seminar on Neural Network Applications in Electrical Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th Seminar on Neural Network Applications in Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEUREL.2002.1057971\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th Seminar on Neural Network Applications in Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEUREL.2002.1057971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
2 autoregressive (AR) models of Serbian phonemes are examined in this paper. They are the linear autoregressive model and the nonlinear model realized in a feedforward neural network with one hidden layer. It is shown that both models gave satisfying results.
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