The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 22, 2013
Filed:
Jun. 01, 2010
Mikio Nakano, Saitama, JP;
Takashi Nose, Kanagawa, JP;
Ryo Taguchi, Aichi, JP;
Kotaro Funakoshi, Saitama, JP;
Naoto Iwahashi, Kyoto, JP;
Mikio Nakano, Saitama, JP;
Takashi Nose, Kanagawa, JP;
Ryo Taguchi, Aichi, JP;
Kotaro Funakoshi, Saitama, JP;
Naoto Iwahashi, Kyoto, JP;
Honda Motor Co., Ltd., Tokyo, JP;
Advanced Telecommunications Research Institute International, Kyoto, JP;
Abstract
A lexical acquisition apparatus includes: a phoneme recognition sectionfor preparing a phoneme sequence candidate from an inputted speech; a word matching sectionfor preparing a plurality of word sequences based on the phoneme sequence candidate; a discrimination sectionfor selecting, from among a plurality of word sequences, a word sequence having a high likelihood in a recognition result; an acquisition sectionfor acquiring a new word based on the word sequence selected by the discrimination section; a teaching word listA used to teach a name; and a probability modelB of the teaching word and an unknown word, wherein the discrimination sectioncalculates, for each word sequence, a first evaluation value showing how much words in the word sequence correspond to teaching words in the listA and a second evaluation value showing a probability at which the words in the word sequence are adjacent to one another and selects a word sequence for which a sum of the first evaluation value and the second evaluation value is maximum, and wherein the acquisition sectionacquires, as a new word, a word in the word sequence selected by the discrimination section that is not involved in the calculation of the first evaluation value.