12. The method of claim 10 , wherein the speech recognition models include a context-dependent acoustic model and an n-gram language model.
10. A method of verifying an utterance in a speech recognition system, the method comprising: processing noise of an input speech signal; extracting features of speech data obtained through the noise processing; detecting events of the plurality of speech features occurring in the speech data using the noise-processed data and data of the extracted features; performing speech recognition using a plurality of preset speech recognition models for the extracted feature data; and calculating confidence measurement values in units of words and sentences using information on the plurality of detected events and a preset utterance verification model, and performing utterance verification according to the calculated confidence measurement values, wherein the utterance verification model includes a smoothing anti-model, a specific anti-model, a filler model, and a support vector machine (SVM) model.