METHOD, DEVICE, AND PROGRAM FOR CLASS IDENTIFICATION MODEL, AND METHOD, DEVICE, AND PROGRAM FOR CLASS IDENTIFICATION

摘要

PPROBLEM TO BE SOLVED: To provide a method, a device, and a program for class identification that can properly recognize a speech section of characteristic expression and identifies which kind of characteristic expression the speech section is even when the proper noun of an unknown word which is not included in a vocabulary of speech recognition because of its low frequency is recognized or when a recognition error is included. PSOLUTION: A morpheme correspondence part 3 makes an array of morphemes after speech media are converted and an array of morphemes with characteristic expression classes correspond so that the total similarity between the both becomes largest, and the former array of morphemes is given the characteristic expression class that the latter morphemes have. A language model learning part 4 statistically learns a language model from the array of morphemes with characteristic expression classes. A word graph generation part 5 generates a word graph including morphemes as nodes and possible connections at start positions and end positions of respective morphemes as links for an array of morphemes outputted in only-quantity-likelihood order. A characteristic expression imparting part 6 selects morphemes with characteristic expression for the word graph according to language models so that the probability from the head position to the end position of the word graph becomes maximum, and outputs an array of morphemes with characteristic expression. PCOPYRIGHT: (C)2004,JPO&NCIPI