{"title":"多音素分类","authors":"T. Reynolds, E. Pizzolato","doi":"10.1109/ICOSP.1998.770309","DOIUrl":null,"url":null,"abstract":"The multinet phone classifier architecture is a framework for combining specialised phone detection networks into a posterior probability estimator for all phones. In this paper we give results obtained for the architecture on TIMIT phone classification tasks. We compare it with a standard mixture of Gaussian HMM classifiers.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Phoneme classification with multinets\",\"authors\":\"T. Reynolds, E. Pizzolato\",\"doi\":\"10.1109/ICOSP.1998.770309\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The multinet phone classifier architecture is a framework for combining specialised phone detection networks into a posterior probability estimator for all phones. In this paper we give results obtained for the architecture on TIMIT phone classification tasks. We compare it with a standard mixture of Gaussian HMM classifiers.\",\"PeriodicalId\":145700,\"journal\":{\"name\":\"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.1998.770309\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.1998.770309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The multinet phone classifier architecture is a framework for combining specialised phone detection networks into a posterior probability estimator for all phones. In this paper we give results obtained for the architecture on TIMIT phone classification tasks. We compare it with a standard mixture of Gaussian HMM classifiers.
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