The paper presents a detailed description of the EZK algorithm, a version of zerotree quantization developed by the authors, and describes why it provides higher compression than the alternatives. The performance of the algorithm using several alternative transforms is compared, and the incorporation of psychoacoustic modeling is described. Finally, the performance of the codec with some alternatives is compared.

Authors: Leslie, Ben; Dunn, Chris; Sandler, Mark
Affiliation: Department of Electronic Engineering, King's College, Strand, London, England
AES Conference: 17th International Conference: High-Quality Audio Coding (September 1999)
Paper Number: 17-026
Publication Date: September 1, 1999 Import into BibTeX
Subject: High Quality Audio Coding
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=8062

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD aes16)   /procintl/1999fl09/1800.pdf

Start a discussion about this paper!