{"title":"Context Lossless Coding of Audio Signals","authors":"G. Ulacha, R. Stasinski","doi":"10.1109/DCC.2013.102","DOIUrl":null,"url":null,"abstract":"In the paper improvements obtained for context lossless audio coding are investigated. The approach is not popular in audio compression, hence, the research concentrates on static forward predictors optimized using MMSE criterion. Two and three context algorithms are tested on 16 popular benchmark recordings. Savings due to inter-channel audio dependencies are also considered. It is shown that indeed, context approach has potential of improving data compaction properties of audio coding algorithms.","PeriodicalId":388717,"journal":{"name":"2013 Data Compression Conference","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2013.102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
In the paper improvements obtained for context lossless audio coding are investigated. The approach is not popular in audio compression, hence, the research concentrates on static forward predictors optimized using MMSE criterion. Two and three context algorithms are tested on 16 popular benchmark recordings. Savings due to inter-channel audio dependencies are also considered. It is shown that indeed, context approach has potential of improving data compaction properties of audio coding algorithms.
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