Abstract: A system has a speech recognition unit 2 including a first recognition engine capable of recognizing predetermined word strings and a second recognition engine capable of recognizing parts of the word strings; and a deciding unit 4 that selects, in accordance with a difference between the durations of first and second recognition resulting candidates, which are recognition results of the speech recognition by the first and second recognition engines 2a and 2b, one or more probable recognition resulting candidates from the first and second recognition resulting candidates.

Abstract: A system has a speech recognition unit 2 including a first recognition engine capable of recognizing predetermined word strings and a second recognition engine capable of recognizing parts of the word strings; and a deciding unit 4 that selects, in accordance with a difference between the durations of first and second recognition resulting candidates, which are recognition results of the speech recognition by the first and second recognition engines 2a and 2b, one or more probable recognition resulting candidates from the first and second recognition resulting candidates.

Abstract: A text data search using a voice is conventionally a full-text search using a word as an index word for a part recognized as a word in an input voice. Therefore, if any of the parts recognized as the words is falsely recognized, a search precision is lowered. In the present invention, referring to a language model generated by a language model generating part from text data to be subjected to a search which is divided by a learning data dividing part into a linguistic part and an acoustic model obtained by modeling voice features, a voice recognition part performs voice recognition for the input voice to output a phonemic representation. A matching unit converting part divides the phonemic representation into the same units as those of a text search dictionary, which is obtained by dividing the text data to be subjected to the search into the units smaller than those of the language model. A text search part uses the result of division to make a search on the text search dictionary.

Abstract: A text data search using a voice is conventionally a full-text search using a word as an index word for a part recognized as a word in an input voice. Therefore, if any of the parts recognized as the words is falsely recognized, a search precision is lowered. In the present invention, referring to a language model generated by a language model generating part from text data to be subjected to a search which is divided by a learning data dividing part into a linguistic part and an acoustic model obtained by modeling voice features, a voice recognition part performs voice recognition for the input voice to output a phonemic representation. A matching unit converting part divides the phonemic representation into the same units as those of a text search dictionary, which is obtained by dividing the text data to be subjected to the search into the units smaller than those of the language model. A text search part uses the result of division to make a search on the text search dictionary.