1. A method for creating a subpartitioned vector quantized memory for the storage of hidden Markov model (HMM) log-probability density functions (log-pdfs) corresponding to a phoneme model having at least one code-book and one state, comprising the following steps: a) organizing the HMM log-pdfs of each code-book by column and grouped by state so that corresponding log-pdf values of each of the HMM log-pdfs form a set of log-pdf value columns; b) subpartitioning the log-pdf value columns into an integer number of equal length packets each packet identified by an associated packet index; c) vector quantizing the subpartitioned packets, creating a set of subpartitioned vector quantization (SVQ) encoding vectors and associated SVQ encoding vector indices; d) constructing an address translation table that is addressable by the packet indices, listing the SVQ encoding vector indices associated with each packet index, for generating, at output, an encoding index corresponding to the packet index used to address the address translation table; and e) constructing a SVQ vector table for storing the set of SVQ encoding vectors in accordance with the associated SVQ encoding vector indices.