Swinburne
Browse

Efficient distance measure for quantization of LSF and its Karhunen-Loeve transformed parameters

Download (96.99 kB)
journal contribution
posted on 2024-07-13, 01:14 authored by Hai Vu, László Lois
This paper presents a new distance measure that is based on the spectral sensitivity of the line spectrum frequency parameters (LSFs) and its Karhunen-Loeve (KL) transformed coefficients. It is shown that the proposed distance measure achieves better performance of vector quantization (VQ) compared to other methods in the field of LSF coding. In most cases, the percentage of outliers is reduced when using the new one, compared to the best results of using other conventional weighting functions. The use of this distance as the weighting function of the LSF transformed parameters is also suggested.

History

Available versions

PDF (Published version)

ISSN

1063-6676

Journal title

IEEE transactions on speech and audio processing

Volume

8

Issue

6

Pagination

2 pp

Publisher

IEEE

Copyright statement

Copyright © 2000 IEEE. The published version is reproduced in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Language

eng

Usage metrics

    Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC