{"title":"生产模型的动态控制","authors":"L. Candille, H. Meloni","doi":"10.21437/ICSLP.1996-583","DOIUrl":null,"url":null,"abstract":"A number of experiments have shown that it is possible to use production models for speech recognition tasks [6] and [2]. We present here the first results of an adaptation of Maeda's statistic model. We have also demonstrated the importance of taking into account the static and dynamic characteristics of the speaker. Some preliminary results for the identification of V1-V2 sequences are also provided.","PeriodicalId":90685,"journal":{"name":"Proceedings : ICSLP. International Conference on Spoken Language Processing","volume":"191 1","pages":"2305-2308"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Dynamic control of a production model\",\"authors\":\"L. Candille, H. Meloni\",\"doi\":\"10.21437/ICSLP.1996-583\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A number of experiments have shown that it is possible to use production models for speech recognition tasks [6] and [2]. We present here the first results of an adaptation of Maeda's statistic model. We have also demonstrated the importance of taking into account the static and dynamic characteristics of the speaker. Some preliminary results for the identification of V1-V2 sequences are also provided.\",\"PeriodicalId\":90685,\"journal\":{\"name\":\"Proceedings : ICSLP. International Conference on Spoken Language Processing\",\"volume\":\"191 1\",\"pages\":\"2305-2308\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings : ICSLP. International Conference on Spoken Language Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21437/ICSLP.1996-583\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings : ICSLP. International Conference on Spoken Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21437/ICSLP.1996-583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A number of experiments have shown that it is possible to use production models for speech recognition tasks [6] and [2]. We present here the first results of an adaptation of Maeda's statistic model. We have also demonstrated the importance of taking into account the static and dynamic characteristics of the speaker. Some preliminary results for the identification of V1-V2 sequences are also provided.
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