VOICE RECOGNITION METHOD USING TIME-BASE CORRELATION, ESPECIALLY IN RELATION TO IMPROVING A VOICE RECOGNITION RATE BY USING A TIME-BASE CORRELATION WITHOUT LARGELY MODIFYING A VOICE RECOGNITION SYSTEM HAVING A PRIOR HMM SCHEME

摘要

PURPOSE: A voice recognition method using a time-base correlation is provided to use a time-base correlation in a voice recognition system having an HMM(Hidden Markov Model) scheme, and to add a few parameters while changing a probability value calculating process, thereby largely improving a voice recognition rate. CONSTITUTION: Inputted voice data is blocked in certain sectional unit, to extract one or plural feature vectors from every block(100). A VQ(Vector Quantization) is performed for an extracted feature vector string(110). In the VQ process, representative feature vectors stored in a codebook at every frame are compared with an input feature vector of a current frame to select the most similar representative feature vector while outputting a corresponding index(130). The feature vector string is converted into a VQ index string. Parameters for displaying weight for a probability value are obtained(140).