The University of Southampton
University of Southampton Institutional Repository

Speech Spectral Quantizers for Wideband Speech Coding

Speech Spectral Quantizers for Wideband Speech Coding
Speech Spectral Quantizers for Wideband Speech Coding
Abstract. In this treatise a range of Line Spectrum Frequency (LSF) Vector Quantization (VQ) schemes were studied comparatively, which were designed for wideband speech codecs. Both predictive arrangements and memoryless schemes were investigated. Specifically, both memoryless Split Vector Quantization (SVQ) and Classified Vector Quantization (CVQ) were studied. These techniques exhibit a low complexity and high channel error resilience, but require high bit rates for maintaining high speech quality. By contrast, Predictive Vector Quantizers (PVQ) offer an enhanced Spectral Distortion (SD) performance, although they are sensitive to channel error propagation. It is shown that the family of so-called Safety-Net Vector Quantization (SNVQ) schemes offers a good design compromise, providing an extension to memory-based PVQ, and thereby improving the performances both over noisy and noiseless channels.
535-545
Guibé, G.
d6f829ff-3500-4815-8322-b85b98ec0bd6
How, H T
b146a378-18e1-4fa0-88ae-f0fbf889220b
Hanzo, L
66e7266f-3066-4fc0-8391-e000acce71a1
Guibé, G.
d6f829ff-3500-4815-8322-b85b98ec0bd6
How, H T
b146a378-18e1-4fa0-88ae-f0fbf889220b
Hanzo, L
66e7266f-3066-4fc0-8391-e000acce71a1

Guibé, G., How, H T and Hanzo, L (2001) Speech Spectral Quantizers for Wideband Speech Coding. European Transactions on Telecommunications, 12 (6), 535-545.

Record type: Article

Abstract

Abstract. In this treatise a range of Line Spectrum Frequency (LSF) Vector Quantization (VQ) schemes were studied comparatively, which were designed for wideband speech codecs. Both predictive arrangements and memoryless schemes were investigated. Specifically, both memoryless Split Vector Quantization (SVQ) and Classified Vector Quantization (CVQ) were studied. These techniques exhibit a low complexity and high channel error resilience, but require high bit rates for maintaining high speech quality. By contrast, Predictive Vector Quantizers (PVQ) offer an enhanced Spectral Distortion (SD) performance, although they are sensitive to channel error propagation. It is shown that the family of so-called Safety-Net Vector Quantization (SNVQ) schemes offers a good design compromise, providing an extension to memory-based PVQ, and thereby improving the performances both over noisy and noiseless channels.

Text
1178_pap.pdf - Other
Download (416kB)

More information

Published date: November 2001
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 256376
URI: http://eprints.soton.ac.uk/id/eprint/256376
PURE UUID: d25c67c5-7443-4ceb-b72c-f839b8847df5
ORCID for L Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 14 Mar 2002
Last modified: 20 Jul 2019 01:26

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×