Patent ID: 6038528
Filing Date: 2000-03-14
Classification: G10L

Abstract:
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; andclassifying a testing speech sample with said trained classifier for forming classified output,wherein the affine transform has the form: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; C.sub.k.sup.T' represents said cepstrum coefficients of said development speech sample and C.sub.k.sup.T represents said cepstrum coefficients of said clean speech sample;wherein said affine transform is solved by: ##EQU12## for j=1 . . . q and .alpha..sub.j is augmented column vector having first q entries from the j.sup.th row of matrix A and last entry is the j.sup.th 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.