{"title":"The improvement of HMM algorithm using wavelet de-noising in speech recognition","authors":"Dexiang Zhou, Xianrong Wang","doi":"10.1109/ICACTE.2010.5579310","DOIUrl":null,"url":null,"abstract":"Based on primary HMM algorithm, this paper discusses an improving algorithm of HMM and uses wavelet algorithm to reduce signal noise and then signal reconstruction. The improved algorithm uses MATLAB to carry out simulation test. Through setting appropriate wavelet soft threshold value, the test result shows that the improved algorithm will improve obviously speech recognition efficiency compared with primary HMM algorithm.","PeriodicalId":255806,"journal":{"name":"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACTE.2010.5579310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Based on primary HMM algorithm, this paper discusses an improving algorithm of HMM and uses wavelet algorithm to reduce signal noise and then signal reconstruction. The improved algorithm uses MATLAB to carry out simulation test. Through setting appropriate wavelet soft threshold value, the test result shows that the improved algorithm will improve obviously speech recognition efficiency compared with primary HMM algorithm.