Coevolutionary asymptotic genetic algorithm for syllable model based identification of sentences in automatic recognition of continuous speech

The last stage of the syllable based automatic continuous speech recognition is the concatenation of the recognized syllables into a sequence of words. A method for solving this problem is suggested and investigated in the article. It is based on a specially designed stochastic optimization algorithm which is able to determine the most likely sentence corresponding to acoustic signal within an acceptable time frame.