SYSTEM AND METHOD OF MULTI MODEL ADAPTATION AND VOICE RECOGNITION

摘要

Provided is a system of voice recognition that adapts and stores a voice of a speaker for each feature to each of a basic voice model and new independent multi models and provides stable real-time voice recognition through voice recognition using a multi adaptive model. A method of multi model adaptation according to the exemplary embodiment of the present invention includes: selecting any one model designated by a speaker; extracting a feature vector used in a voice model from an inputted voice of the speaker; adapting the extracted feature vector by using a predetermined pronunciation information model and a predetermined basic voice model and thereafter, storing the corresponding feature vector in a model designated by the speaker among the plurality of models, and setting a flag indicating whether adaptation is executed; extracting a feature vector from a voice which the speaker inputs for voice recognition; selecting only models in which adaptation is executed by reading flags set in multi adaptive models; calculating similarity of adaptive values by sequentially comparing the models selected by reading the flags with the feature vectors extracted from the inputted voices of the speakers; and selecting one model having the maximum similarity and executing voice recognition through decoding when similarity calculation for all the selected models is completed.