TREE SEARCH BASED METHOD FOR RECOGNIZING VOICE AND HIGH CAPACITY VOICE RECOGNITION SYSTEM FOR CONTINUOUSLY RECOGNIZING VOICES USING THE SAME

摘要

PURPOSE: A tree search based method for recognizing a voice and a high capacity voice recognition system for continuously recognizing voices using the same are provided to improve recognition rate by excepting words having low probability from a search target. CONSTITUTION: A voice signal inputted through a voice input part(100) is inputted to a feature extracting part(200), so that the feature extracting part extracts feature parameters and provides the feature parameters to a voice recognizing part(300). The voice recognizing part decides the corresponding word by assigning the input features into a sound model and a language model. The firstly inputted features are applied to a tree-based searching part(320) through a K delay(310). The tree-based searching part searches for a word line coinciding with an input voice to be recognized by using the sound model and the language model. A language model look-ahead processing part(340) reads a learned language model for calculating expectations by routes representing probability of succeeding the preceding word and removes routes having low expectations.