{"title":"语音识别中DTW算法的改进","authors":"Dexiang Zhou, Ji-xiang Zhang","doi":"10.1109/ITAPP.2010.5566232","DOIUrl":null,"url":null,"abstract":"This paper discusses an improving algorithm of DTW. Based on primary DTW arithmetic, it uses new algorithm to reduce unnecessary calculated point and only saves the necessary frame matching distance matrix and accumulation distance matrix.The improved algorithm uses MATLAB to carry out simulation and make the best test through analyzing the comparative results. This algorithm will save storage space and enhance computational efficiency .","PeriodicalId":116013,"journal":{"name":"2010 International Conference on Internet Technology and Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Improvement of DTW Algorithm in Speech Recognition\",\"authors\":\"Dexiang Zhou, Ji-xiang Zhang\",\"doi\":\"10.1109/ITAPP.2010.5566232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses an improving algorithm of DTW. Based on primary DTW arithmetic, it uses new algorithm to reduce unnecessary calculated point and only saves the necessary frame matching distance matrix and accumulation distance matrix.The improved algorithm uses MATLAB to carry out simulation and make the best test through analyzing the comparative results. This algorithm will save storage space and enhance computational efficiency .\",\"PeriodicalId\":116013,\"journal\":{\"name\":\"2010 International Conference on Internet Technology and Applications\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Internet Technology and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITAPP.2010.5566232\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Internet Technology and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITAPP.2010.5566232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Improvement of DTW Algorithm in Speech Recognition
This paper discusses an improving algorithm of DTW. Based on primary DTW arithmetic, it uses new algorithm to reduce unnecessary calculated point and only saves the necessary frame matching distance matrix and accumulation distance matrix.The improved algorithm uses MATLAB to carry out simulation and make the best test through analyzing the comparative results. This algorithm will save storage space and enhance computational efficiency .
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