UTTERANCE VERIFICATION METHOD USING MULTIPLE ANTIMODEL BASED ON SUPPORT VECTOR MACHINE IN SPEECH RECOGNITION SYSTEM

摘要

This invention relates to an ignition apparatus and a verification method using the SVM model based on the multiple half speech recognition system that, in particular in carrying out the verification utterance in a voice recognition system, speech recognition module 13 of the processing result and the number of context independent phoneme model half, that is, all context independent half model with the treatment mix, context independent model adapted half, On the other hand, using a model, such as half and half model performs a VQ-based discrimination learning multiple (N) of feature parameter value is extracted, compared with after the pre-generated model to SVM training to perform the input value is greater than the acceptance threshold, and wherein the input is configured to include a speech verification module for performing a rejection is less than or equal to the threshold value, the present invention is to use more than one half model dissimilar characteristics are modeled for different input data, the reliability of each model calculated by using the SVM-based feature parameters as input, verification of fire there is a high reliability and allows you to be very effective.