APPARATUS AND METHOD FOR LANGUAGE MODEL DISCRIMINATION TRAINING BASED ON CORPUS

摘要

PURPOSE: A Corpus-based language model discrimination learning method and a device thereof are provided to easily build and use a learning database corresponding to a target domain by building a discrimination learning training corpus database with a text corpus. CONSTITUTION: A language model discrimination learning database extracts a voice feature vector from a corpus database to be built(S302). Continuous speech voice recognition is performed by receiving the voice feature vector(S303). The language model discrimination learning is performed by using a score sentence score and a voice recognition result outputted through continuous speech voice recognition performance(S304). A discrimination language model is generated(S305). [Reference numerals] (AA) Start; (BB) End; (S301) Build a DB for language model discrimination learning; (S302) Extract a voice feature vector; (S303) Recognize voice of continuous speech; (S304) Perform the language model discrimination learning; (S305) Generate a discriminative language model