Apparatus for discriminative training acoustic model considering error of phonemes in keyword and computer recordable medium storing the method thereof

摘要

The present invention relates to a device for discriminative acoustic model training by considering results of phoneme errors in keywords and a computer readable recording medium recording a method therefor. The present invention comprises a keyword detection unit detecting a keyword recognition result as a speech recognition result about keywords from an N-best recognition result as the speech recognition result for a word string including the keywords; a keyword training unit obtaining phoneme model parameter distribution of correct phonemes and error phonemes according to the keyword recognition results; and a keyword discriminative training unit applying a log-likelihood value of the error phonemes as a weighted value in the keyword recognition results and updating the phoneme model parameter of the error phonemes to minimize mutual information in proportion to a count value of the error phonemes. [Reference numerals] (100) Property extracting unit;(200) Investigation unit;(300) Sound model database;(400) Pronunciation dictionary database;(500) Language model database;(600) Text database;(700) Language model learning unit;(800) Sound database;(910) Keyword extracting unit;(912) Keyword database;(920) N-best alignment unit;(930) Keyword learning unit;(940) N-best learning unit;(950) Keyword discrimination learning unit;(960) N-best discrimination learning unit;(AA) Sound signal;(BB) Word row