Compute the PLDA scores between to sets of vectors. The list of trials to perform is given in an Ndx object. PLDA matrices have to be pre-computed. i-vectors are supposed to be whitened before.
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Returns: | a score object |
Compute the cosine similarities between to sets of vectors. The list of trials to perform is given in an Ndx object.
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Returns: | a score object |
Compute the mahalanobis distance between to sets of vectors. The list of trials to perform is given in an Ndx object.
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Parm test: | a StatServer in which stat1 are i-vectors |
Returns: | a score object |
Compute the 2-covariance scores between to sets of vectors. The list of trials to perform is given in an Ndx object. Within and between class co-variance matrices have to be pre-computed.
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Returns: | a score object |