Abstract
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-distortionfunction is derived and shown to closely match the observed spherical VQ performance.
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More From: ECTI Transactions on Electrical Engineering, Electronics, and Communications
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