Sub-partitioned vector quantization of probability density funct

Details Sub-partitioned vector quantization of probability density funct Sub-partitioned vector quantization of probability density funct

1992-12-31

1996-07-09

MacDonald, Allen R.

G10L 506

Patent

active

055353053

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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