📄 readme.txt
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THREE VQ CODEBOOK TRAINING ALGORITHMS
Copyright (c) by Jialong He, all rights reserved.
Introduction:
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In this package, I implemented three codebook training
algorithms, including the GVQ, the LBG and the LVQ. The
optimization criteria of these three algorithms are different. In
LBG training, the codebook is optimized to give the smallest
quantization error for the training vectors. This criterion is
suitable for the applications such as speech coding. One the
other hand, LVQ trained codebook can give a better
classification performance for individual feature vectors.
In speaker identification, a classification decision is made
based on a number of feature vectors. Therefore, in GVQ
training, the codebook is optimized to give a lower
classification error rate for 搗ector groups
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