Chatterjee, Saikat and Sreenivas, TV (2008) Low Complexity Wideband LSFQuantization Using GMM of Uncorrelated Gaussian Mixtures. In: 16th European Signal Processing Conference (EUSIPCO 2008), August 25-29, 2008, Lausanne, Switzerland.
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We develop a Gaussian mixture model (GMM) based vector quantization (VQ) method for coding wideband speech line spectrum frequency (LSF) parameters at low complexity. The PDF of LSF source vector is modeled using the Gaussian mixture (GM) density with higher number of uncorrelated Gaussian mixtures and an optimum scalar quantizer (SQ) is designed for each Gaussian mixture. The reduction of quantization complexity is achieved using the relevant subset of available optimum SQs. For an input vector, the subset of quantizers is chosen using nearest neighbor criteria. The developed method is compared with the recent VQ methods and shown to provide high quality rate-distortion (R/D) performance at lower complexity. In addition, the developed method also provides the advantages of bitrate scalability and rate-independent complexity.
|Item Type:||Conference Paper|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||19 Sep 2011 07:24|
|Last Modified:||19 Sep 2011 07:24|
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