16. A computer readable storage medium comprising: a speech recognizer converting multiple speech signals to text; and a speech utterance classification engine comprising a Naïve Bayes classifier constructed using conditional maximum likelihood estimations wherein a probability θ ky that a word k is in class y and an improbability θ ky are iteratively recalculated, and wherein a class probability θ y is not reiteratively recalculated, over all classes jointly.
16. A computer readable storage medium comprising: a speech recognizer converting multiple speech signals to text; and a speech utterance classification engine comprising a Naïve Bayes classifier constructed using conditional maximum likelihood estimations wherein a probability θ ky that a word k is in class y and an improbability θ ky are iteratively recalculated, and wherein a class probability θ y is not reiteratively recalculated, over all classes jointly. 17. The computer readable storage medium of claim 16 , wherein the speech utterance classification engine uses convergence speed-up.