Initial objective & subjective evaluation of a similarity-based audio compression technique
Proceedings of the 8th Audio Mostly Conference
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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