Publications-Detail

Multiple Descriptions and Missing Data Estimation for Voice over Packet-Switched Networks

Authors:
Martin, R.Mertz, F.
Book Title:
Konferenz Elektronische Sprachsignalverarbeitung (ESSV)
Organization:
ITG
Address:
Bonn, Germany
Date:
Sep. 2001
Language:
English

Abstract

In this contribution we consider the transmission of voice over packet-switched networks using Multiple Description encoding and optimal estimation of missing information. We investigate Multiple Description encoding techniques for the transmission of spectral parameters of a speech coder and present an approach for estimating lost parameters. The reconstruction of missing information is based on intra-frame Minimum Mean Square Error (MMSE) estimation with a priori knowledge modelled by Gaussian Mixture Models (GMM). We show that the GMM approach leads to implementations which are efficient with respect to computational complexity and memory requirements. Experimental results are given for the estimation of missing Line Spectral Frequency (LSF) parameters.

Download

BibTeX

Copyright © by IKS
martin01d.pdf
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.