{"title":"音频的广义Lempel-Ziv压缩","authors":"D. Kirovski, Zeph Landau","doi":"10.1109/TASL.2006.881687","DOIUrl":null,"url":null,"abstract":"We introduce a novel compression paradigm to generalize a class of Lempel-Ziv algorithms for lossy compression of multimedia. Based upon the fact that music, in particular electronically generated sound, has substantial level of repetitiveness within a single clip, we generalize the basic Lempel-Ziv compression algorithm to support representing a single window of audio using a linear combination of filtered past windows. In this positioning paper, we present a detailed overview of the new lossy compression paradigm, we identify the basic challenges such as similarity search and present preliminary experimental results on a benchmark of electronically generated musical pieces","PeriodicalId":13155,"journal":{"name":"IEEE Trans. Speech Audio Process.","volume":"29 1","pages":"509-518"},"PeriodicalIF":0.0000,"publicationDate":"2007-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Generalized Lempel-Ziv Compression for Audio\",\"authors\":\"D. Kirovski, Zeph Landau\",\"doi\":\"10.1109/TASL.2006.881687\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce a novel compression paradigm to generalize a class of Lempel-Ziv algorithms for lossy compression of multimedia. Based upon the fact that music, in particular electronically generated sound, has substantial level of repetitiveness within a single clip, we generalize the basic Lempel-Ziv compression algorithm to support representing a single window of audio using a linear combination of filtered past windows. In this positioning paper, we present a detailed overview of the new lossy compression paradigm, we identify the basic challenges such as similarity search and present preliminary experimental results on a benchmark of electronically generated musical pieces\",\"PeriodicalId\":13155,\"journal\":{\"name\":\"IEEE Trans. Speech Audio Process.\",\"volume\":\"29 1\",\"pages\":\"509-518\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Trans. Speech Audio Process.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TASL.2006.881687\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Trans. Speech Audio Process.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TASL.2006.881687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We introduce a novel compression paradigm to generalize a class of Lempel-Ziv algorithms for lossy compression of multimedia. Based upon the fact that music, in particular electronically generated sound, has substantial level of repetitiveness within a single clip, we generalize the basic Lempel-Ziv compression algorithm to support representing a single window of audio using a linear combination of filtered past windows. In this positioning paper, we present a detailed overview of the new lossy compression paradigm, we identify the basic challenges such as similarity search and present preliminary experimental results on a benchmark of electronically generated musical pieces
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