| 摘要 |
PURPOSE: A method for state clustering by using a learned model is provided to reduce calculation amount by a lot of data by executing a state clustering with the learned model. CONSTITUTION: A method for state clustering by using a learned model includes the steps of inputting a new word(s301), decomposing the input word into a plurality of triphones and confirming whether the triphones are learned triphones(s302), applying an acoustic question by replacing with the learned triphone if the learned triphone exists in the triphones(s303), selecting the most adjacent triphone in the learned triphones(s304), selecting the optimum question in the questions of a question set(s305), dividing a cluster(s306), granting weight by obtaining frequency of each triphone(s307), and judging whether the divided cluster is larger than a critical value(s308). |
