AN APPARATUS FOR CONSTRUCTING A ACOUSTIC MODEL BASED ON THE HIDDEN MARKOV MODEL AND A METHOD THEREOF

摘要

An apparatus for constructing an acoustic model on the basis of the Hidden Markov model and a method thereof are provided to construct more reliable a voice recognition system of which recognition is improved by using an erroneous restriction condition while using a maximal mutual information scheme. An acoustic feature extracting unit(200) extracts training voice features, which are currently used, to constructing an acoustic mode based on the Hidden Markov. An acoustic model initialization setting unit(202) determines the initial value of a parameter of the acoustic mode to maximize the log likelihood of the training voice for the predetermined correct answer model. When the training voice is recognized by using the acoustic model having the initial value calculated by the acoustic model initialization setting unit, a correct answer model log likelihood calculating unit(206) calculates the log likelihood as to a training voice correct answer model based on a parameter of the acoustic model.