ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Computationally efficient optimum weighting function for vector quantization of LSF parameters

Chatterjee, Saikat and Sreenivas, TV (2007) Computationally efficient optimum weighting function for vector quantization of LSF parameters. In: 9th International Symposium on Signal Processing and its Applications, FEB 12-15, 2007, Sharjah.

[img] PDF
gl.pdf - Published Version
Restricted to Registered users only

Download (181Kb) | Request a copy
Official URL: http://ieeexplore.ieee.org/search/srchabstract.jsp...

Abstract

We propose a new weighting function which is computationally simple and an approximation to the theoretically derived optimum weighting function shown in the literature. The proposed weighting function is perceptually motivated and provides improved vector quantization performance compared to several weighting functions proposed so far, for line spectrum frequency (LSF) parameter quantization of both clean and noisy speech data.

Item Type: Conference Paper
Additional Information: Copyright 2007 IEEE. 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.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 24 Mar 2010 07:54
Last Modified: 19 Sep 2010 05:57
URI: http://eprints.iisc.ernet.in/id/eprint/26329

Actions (login required)

View Item View Item