Chatterjee, Saikat and Sreenivas, TV (2008) Predicting VQ Performance Bound for LSF Coding. In: IEEE Signal Processing Letters, 15 . pp. 166-169.
predict.pdf - Published Version
For vector quantization (VQ) of speech line spectrum frequency (LSF) parameters, we experimentally determine a mapping function between the mean square error (MSE) measure and the perceptually motivated average spectral distortion (SD) measure. Using the mapping function, we estimate the minimum bits/vector required for transparent quantization of telephone-band and wide-band speech LSF parameters, respectively, as 22 bits/vector and 36 bits/vector, where the distribution of LSF vector is modeled as a Gaussian mixture model (GMM).
|Item Type:||Journal Article|
|Additional Information:||Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Keywords:||Gaussian mixture model;line spectrum frequency (LSF) quantization;vector quantization.|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||13 Oct 2008 10:20|
|Last Modified:||19 Sep 2010 04:50|
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