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

Authors:

Rainer Martin and Frank Mertz

Book Title:

Konferenz Elektronische Sprachsignalverarbeitung (ESSV)

Venue:

Bonn, Germany

Event Date:

0.-0.0.2001

Organization:

ITG

Date:

Sept. 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.

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