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Multiple description coding based on Gaussian mixture models

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2 Author(s)
Samuelsson, J. ; Dept. of Signals, R. Inst. of Technol., Stockholm, Sweden ; Plasberg, J.H.

An algorithm for multiple description coding (MDC) based on Gaussian mixture models (GMMs) is presented. Based on the parameters of the GMM, the algorithm combines MDC scalar quantizers, yielding a source-optimized vector MDC system. The performance is evaluated on a speech spectrum source in terms of mean-squared error and log spectral distortion. It is demonstrated experimentally that the proposed system outperforms single description coding and repetition coding over a wide range of channel failure probabilities. The proposed algorithm has a complexity that is linear in rate and dimension while retaining a near optimal vector quantizer point density.

Published in:

Signal Processing Letters, IEEE  (Volume:12 ,  Issue: 6 )

Date of Publication:

June 2005

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