Abstract: There is described a method (500) for automatic speech classification performed on an electronic device. The method (500) includes receiving an utterance waveform (520) and processing the waveform (535) to provide feature vectors. Then a step (537) provides for performing speech recognition of the utterance waveform by comparing the feature vectors with at least two sets of acoustic models, one of the sets being a general vocabulary acoustic model set and another of the sets being a digit acoustic model set. The speech recognition step (537) provides candidate strings and associated classification scores from each of the sets of acoustic models. The utterance type is then classified (550) for the waveform based on the classification scores and a selecting step (553) selects one of the candidates as a speech recognition result based on the utterance type. A response is provided (555) depending on the speech recognition result.