Patent ID: 7272561
Filing Date: 2007-09-18
Classification: G10L

Abstract:
1. A speech recognition device for recognizing speech using a plurality of predetermined types of hidden Markov models, each of which represents a predetermined word, said device comprising: detection means for detecting feature parameters of input speech; data storage means for pre-storing output probability functions and transition probabilities of said predetermined types of hidden Markov models and using, as arguments, said feature parameters; and recognition means for recognizing the input speech based on occurrence probability that a sequence of said feature parameters will occur with reference to said feature parameters and to said hidden Markov models, wherein said recognition means assigns each of said predetermined word a state sequence of one hidden Markov model common to said predetermined types of hidden Markov models in the process of determining said occurrence probability, determines probability of each state of said common hidden Markov model by multiplying an output probability function value and a transaction probability of each of said plurality of predetermined types of hidden Markov models to obtain a plurality of products and selecting the largest product, and determines said occurrence probability based on the selected largest product to recognize the input speech.