Abstract: Method and apparatus rejecting out-of-class inputs for pattern classification including a list of patterns with at least one in-context pattern and a rank tolerance. An input pattern is used to generate a classifier score for each pattern in the list and the classifier scores are ranked in decreasing order. The highest ranking score for an in-context pattern is determined and if the highest ranking score is 1 the in-context pattern is selected. If the highest ranking score is not 1 it is compared to the rank tolerance. When the highest ranking score is less than the rank tolerance the in-context pattern is selected and when the highest ranking score is greater than the rank tolerance the in-context pattern is rejected. Cohorts of the highest ranking pattern are removed from the list prior to the comparison.

Abstract: An improved method of training a SISRS uses less processing and memory resources by operating on vectors instead of matrices which represent spoken commands. Memory requirements are linearly proportional to the number of spoken commands for storing each command model. A spoken command is identified from the set of spoken commands by a command recognition procedure (200). The command recognition procedure (200) includes sampling the speaker's speech, deriving cepstral coefficients and delta-cepstral coefficients, and performing a polynomial expansion on cepstral coefficients. The identified spoken command is selected using the dot product of the command model data and the average command structure representing the unidentified spoken command.