APPARATUS AND METHOD FOR GENERATING N-BEST HYPOTHESIS BASED ON CONFUSION MATRIX AND CONFIDENCE MEASURE IN SPEECH RECOGNITION OF CONNECTED DIGITS

摘要

PURPOSE: A multiple recognition candidate formation apparatus and a method thereof are provided, which can improve the efficiency of the voice recognition engine by reducing the usage amount of a memory unit and search time for creating the multiple recognition candidate. CONSTITUTION: A voice feature extractor(502) creates the feature vector through the voice recognition about the consecutive numbers voice. A search unit(504) creates the single recognition candidate string through the pattern recognition about the feature vector. The search unit outputs the likelihood point and feature vector about discrete numerical sound composed of the single recognition candidate string. A multiple recognition candidate generation part(508) creates the multiple recognition candidate by referring the order by numerical sound of the confidence measure generator(506) and the pre-set confusion matrix.