{"title":"语音噪声消除使用优化子带自适应滤波","authors":"A. Noor, S. Samad, A. Hussain","doi":"10.1109/SCORED.2009.5443047","DOIUrl":null,"url":null,"abstract":"In this paper, an optimized subband noise canceller for speech signals is developed. The canceller uses a two fold oversampled filter bank. The prototype filter of the filter bank is optimized for minimum system distortion. A variable step size least mean square LMS adaptive filter is used in each subband. Performance under white and colored environments is evaluated in terms of mean square error MSE performance. Comparison is made with a similar model that is based on a standard critically sampled filter banks. Fullband version is used as reference for the canceller outperformed both critically sampled and fullband models.","PeriodicalId":443287,"journal":{"name":"2009 IEEE Student Conference on Research and Development (SCOReD)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Noise cancellation in speech using optimized subband adaptive filtering\",\"authors\":\"A. Noor, S. Samad, A. Hussain\",\"doi\":\"10.1109/SCORED.2009.5443047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an optimized subband noise canceller for speech signals is developed. The canceller uses a two fold oversampled filter bank. The prototype filter of the filter bank is optimized for minimum system distortion. A variable step size least mean square LMS adaptive filter is used in each subband. Performance under white and colored environments is evaluated in terms of mean square error MSE performance. Comparison is made with a similar model that is based on a standard critically sampled filter banks. Fullband version is used as reference for the canceller outperformed both critically sampled and fullband models.\",\"PeriodicalId\":443287,\"journal\":{\"name\":\"2009 IEEE Student Conference on Research and Development (SCOReD)\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Student Conference on Research and Development (SCOReD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCORED.2009.5443047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Student Conference on Research and Development (SCOReD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCORED.2009.5443047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Noise cancellation in speech using optimized subband adaptive filtering
In this paper, an optimized subband noise canceller for speech signals is developed. The canceller uses a two fold oversampled filter bank. The prototype filter of the filter bank is optimized for minimum system distortion. A variable step size least mean square LMS adaptive filter is used in each subband. Performance under white and colored environments is evaluated in terms of mean square error MSE performance. Comparison is made with a similar model that is based on a standard critically sampled filter banks. Fullband version is used as reference for the canceller outperformed both critically sampled and fullband models.