Conditional PDF-Based Split Vector Quantization of Wideband LSF Parameters

Chatterjee, Saikat and Sreenivas, TV (2007) Conditional PDF-Based Split Vector Quantization of Wideband LSF Parameters. In: Signal Processing Letters, 14 (9). pp. 641-644.

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Abstract

The commonly used split vector quantization (SVQ) method is inferior to unconstrained quantization due to independent coding of the split subvectors, resulting in a coding loss. In this paper, we propose a conditional PDF-based split vector quantization (CSVQ) method to recover the coding loss. The CSVQ method is developed assuming the line spectrum frequency source distribution as a multivariate Gaussian and the subvectors are quantized sequentially to exploit the correlation between the subvectors. The new CSVQ method is evaluated for wideband speech LSF quantization; CSVQ is shown to outperform traditional SVQ and provide comparable performance to the recently proposed switched split vector quantization (SSVQ) method. In addition, the transform domain SVQ method is also realized to show that its performance is limited by the distance measure used in the transform domain.

Item Type:	Journal Article
Publication:	Signal Processing Letters
Publisher:	IEEE
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.
Keywords:	Conditional pdf;multivariate Gaussian;split vector quantization (SVQ);weighted square Euclidean distance.
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	11 Dec 2008 05:40
Last Modified:	19 Sep 2010 04:53
URI:	http://eprints.iisc.ac.in/id/eprint/16784

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