4. The two stage utterance verification device of claim 3 , wherein the heterogeneity feature data includes a SNR, an energy, a gender, an age, a phonetic structure, a dialect, the number of syllables in a word, the number of phonemes in a word, the number of frames in a word, a speaking rate, an average pitch, an utterance duration, a speech absent probability, a speech/non-speech likelihood, a Kalman shrinking factor, a Wiener shrinking factor, a N-best LLR score, an anti-model LLR score, a filter bank SNR, a LLR driven score, a SVM confidence score, a beam width during searching, a search time, a EPD time, a time for using system and a domain.
3. A two stage utterance verification device in a speech recognition system, the device comprising: a speech input/output unit for inputting/outputting speech; a preprocessing module for receiving the speech from the speech input/output unit and extracting meta data from the received speech; a speech recognizer for performing speech recognition after receiving the meta data from the preprocessing module; and a utterance verification unit for performing a first utterance verification function based on feature data inputted from a search block of the speech recognizer by using a support vector machine (SVM) pattern classification method, performing a second utterance verification function based on a classification and regression tree (CART) pattern classification method by using heterogeneity feature data including the meta data extracted from the preprocessing module, intermediate result values from functional blocks of the speech recognizer and the result of the first utterance verification when a confidence score, which is a result of the first utterance verification function, is accepted as a correct recognition, and transferring the speech recognition result to a system response module when a result of the second utterance verification function is accepted as the correct recognition.