[R-sig-ME] Logisting regression for same-different speaker classification

[Leonardo LANCIA]

Dear List,

I would like to use a mixed logistic regression model as a classifier which decides if two speech signals representing two istances of the same phoneme (uttered in a specified phentic context) are produced by the same speaker or not. To do that I should use a huge number of predictors (more or less 50 acoustic features). More over, for each acoustic feature I should specify a random interaction with the following factors : the phonetic label attached to the acoustic signals, and a phonetic label correspoding to the context from which the acoustic signals are extracted. 
I am not interested in hypotesis testing but I would like to have an estimation of the contributoin to this task of each of the predictors and an estimate of the correction coefficients associated to the random effects.
Do you think that a mixed logistic regression would do the job or should I move to Support vector machines algorithms?

Leonardo Lancia