density

Evaluates the log-likelihood of (a) feature vector(s) for a mixture model specified in the parameters meantable, sigmatable and wtable (weights).

Usage

density(x, meantable, sigmatable, wtable, accurate, divbylength, framell {, lowerquantile, upperquantile})

x

input feature vectors

meantable

mean vectors of mixture model (N_mixtures x N_dimensions)

sigmatable

covariance vectors (i.e. diagonal of covariance matrices) of mixture model (N_mixtures x N_dimensions)

wtable

vector of mixture weights

accurate

• if 1, the accurate log-likelihood estimation is used
• otherwise use the Intel IPP fast log. add method

divbylength

• if 1, divide overall log-likelihood by number of observations
• otherwise not

framell

• if 1, log-likelihoods are calculated for each individual frame
• otherwise they are summed up

lowerquantileif a value is provided, likelihood values below this value are discarded

upperquantileif a value is provided, likelihood values above this value are discarded

Result

Joint log-likelihood, for each frame (if framell=0) or summed up (if framell=1) and divided by number of observations (if divbylength=1).

See also

haclust, modclust, em, svd

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