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Rate-distortion modeling of spherical vector quantization performance in transform excitation audio coding

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2 Author(s)
Patchoo, W. ; Sch. of EECS, Washington State Univ., Pullman, WA, USA ; Fischer, T.R.

A block-based Gaussian mixture model (GMM) is used to model the distribution of the transform audio data encoded using spherical vector quantization and lossless coding. The expectation-maximization algorithm is used to design the GMM to model the marginal density of the transform coefficients and the block energy density. A GMM-based rate-distortion function is derived and shown to closely match the observed spherical VQ performance.

Published in:

Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), 2010 International Conference on

Date of Conference:

19-21 May 2010

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