{"title":"New distortion measures for speech processing","authors":"T.-H. Li, J. Gibson","doi":"10.1109/WITS.1994.513919","DOIUrl":null,"url":null,"abstract":"New distortion measures are derived from a recently proposed characterization function of stationary time series and are shown to be more robust than some commonly-used distortion measures such as the Kullback-Leibler spectral divergence in speech processing.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 Workshop on Information Theory and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WITS.1994.513919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
New distortion measures are derived from a recently proposed characterization function of stationary time series and are shown to be more robust than some commonly-used distortion measures such as the Kullback-Leibler spectral divergence in speech processing.