6. The method of claim 1 , wherein the comparing step comprises the additional step of evaluating the at least one word with a perplexity test.
1. A computerized method for reducing false alarms in a speech recognition system, the method comprising: receiving a plurality of training examples; generating a model of a left internal context based at least in part on the plurality of training examples, wherein the generation of the model includes compact representation of the left internal context in the form of spectral, cepstral or sinusoidal descriptions; generating a model of a right internal context based at least in part on the plurality of training examples, wherein the generation of the model includes compact representation of the right internal context in the form of spectral, cepstral or sinusoidal descriptions; generating a model of a left external context based at least in part on the plurality of training examples, wherein the generation of the model includes compact representation of the left external context in the form of spectral, cepstral or sinusoidal descriptions; generating a model of a right external context based at least in part on the plurality of training examples, wherein the generation of the model includes compact representation of the right external context in the form of spectral, cepstral or sinusoidal descriptions; receiving at least one test word, the at least one test word comprising an external context; comparing the external context of the at least one test word against a threshold associated with each of the model of the left internal context, the model of the right internal context, the model of the left external context, and the model of the right external context; and rejecting the at least one test word if it is not within the thresholds.