{"title":"声学特征滤波增强ASR","authors":"C. Wellekens","doi":"10.21437/ICSLP.1998-194","DOIUrl":null,"url":null,"abstract":"Several recent results demonstrate improvement of recognition scores if some FIR ltering is applied on the trajectories of feature vectors. This paper presents a new approach where the characteristics of lters are trained together with the HMM parameters resulting in improvements of the recognition in rst tests.Reestimation formulas for the cut-o frequencies of ideal LPlters are derived as well for the impulse response coe cients of a general FIR LPlter.","PeriodicalId":117113,"journal":{"name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Enhanced ASR by acoustic feature filtering\",\"authors\":\"C. Wellekens\",\"doi\":\"10.21437/ICSLP.1998-194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several recent results demonstrate improvement of recognition scores if some FIR ltering is applied on the trajectories of feature vectors. This paper presents a new approach where the characteristics of lters are trained together with the HMM parameters resulting in improvements of the recognition in rst tests.Reestimation formulas for the cut-o frequencies of ideal LPlters are derived as well for the impulse response coe cients of a general FIR LPlter.\",\"PeriodicalId\":117113,\"journal\":{\"name\":\"5th International Conference on Spoken Language Processing (ICSLP 1998)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"5th International Conference on Spoken Language Processing (ICSLP 1998)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21437/ICSLP.1998-194\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"5th International Conference on Spoken Language Processing (ICSLP 1998)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21437/ICSLP.1998-194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Several recent results demonstrate improvement of recognition scores if some FIR ltering is applied on the trajectories of feature vectors. This paper presents a new approach where the characteristics of lters are trained together with the HMM parameters resulting in improvements of the recognition in rst tests.Reestimation formulas for the cut-o frequencies of ideal LPlters are derived as well for the impulse response coe cients of a general FIR LPlter.
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