OBJECT RECOGNITION SYSTEM AND AN OBJECT RECOGNITION METHOD

摘要

An object recognition system is applicable to practical use, and utilizes image information besides speech information to improve recognition accuracy. The object recognition system comprises a speech recognition unit to determine candidates for a result of speech recognition on input speech and their likelihoods, and an image model generation unit to generate image models of a predetermined number of the candidates having the highest likelihoods. The system further comprises an image likelihood calculation unit to calculate image likelihoods of input images based on the image models, and an object recognition unit to perform object recognition using the image likelihoods. At the time of generating the image model of the candidate, the image model generation unit first searches an image model database, and, when the image model of the candidate is not found in the database, the image model generation unit generates said image model from image information on the web.

主权项

1. An object recognition system comprising a processor and one or more memories,
the processor configured to:
determine candidates for a result of speech recognition on input speech and their speech likelihoods;generate image models of a predetermined number of the candidates having the highest speech likelihoods;calculate, based on the image models, image likelihoods that input images correspond to each of the predetermined number of the candidates; andperform object recognition using the image likelihoods, wherein, in the step of generating image models, the processor searches an image model database, and then, when the image model of the candidate is not found in the database, the processor generates said image model from image information on the web.