Sub-partitioned vector quantization of probability density functions
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United States of America Patent
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Jul 9, 1996
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N/A
app pub date -
Dec 31, 1992
filing date -
Dec 31, 1992
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Abstract
A speech recognition memory compression method and apparatus subpartitions probability density function (pdf) space along the hidden Markov model (HMM) index into packets of typically 4 to 8 log-pdf values. Vector quantization techniques are applied using a logarithmic distance metric and a probability weighted logarithmic probability space for the splitting of clusters. Experimental results indicate a significant reduction in memory can be obtained with little increase in overall speech recognition error.
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