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Robust speech processing with affine transform replicated data

  • US 6,038,528 A
  • Filed: 07/17/1996
  • Issued: 03/14/2000
  • Est. Priority Date: 07/17/1996
  • Status: Expired due to Term
First Claim
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1. A method for processing speech comprising the steps of:

  • determining affine transform parameters from clean speech and development speech samples;

    generating an extended data set from a training speech sample and said affine transform parameters;

    training a plurality of classifiers with said extended data set to provide trained classifiers; and

    classifying a testing speech sample with said trained classifier for forming classified output,wherein the affine transform has the form;

    
    
    space="preserve" listing-type="equation">c.sub.k.sup.T'"'"' =Ac.sub.k.sup.T +bwherein said affine transform parameters are represented by A and b and A is a matrix representing said deviations of said noise and b represents said deviations of said channel;

    CkT'"'"' represents said cepstrum coefficients of said development speech sample and CkT represents said cepstrum coefficients of said clean speech sample;

    wherein said affine transform is solved by;

    ##EQU12## for j=1 . . . q and α

    j is augmented column vector having first q entries from the jth row of matrix A and last entry is the jth element of vector b;

    wherein said affine transform parameters correct for deviations of channel and noise in said training speech sample and said testing speech sample.

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