Generalized Lempel-Ziv compression for audio

被引:0
|
作者
Kirovski, D [1 ]
Landau, Z [1 ]
机构
[1] Microsoft Res, Redmond, WA USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 compression paradigm, we identify the basic challenges such as similarity search and present preliminary experimental results on a benchmark of electronically generated musical pieces.
引用
收藏
页码:127 / 130
页数:4
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