Abstract: The present invention addresses the problem of providing a water-in-oil emulsified composition having improved workability in a freezing range. This water-in-oil emulsified composition contains, as constituent fatty acids, 7-29 wt % of lauric acid and 7-19 wt % of palmitic acid, the weight ratio of stearic acid/lauric acid being 0.1-1.6, and has a hardness of 500-1500 gf at ?18° C. The water-in-oil emulsified composition according to the present invention, when delivered or stored in a frozen state, can be directly and easily cut into pieces in any shape without requiring an operation such as thawing or temperature adjustment.

Abstract: The present invention provides an oil and fat having plasticity and excellent meltability in the mouth in a wide range of temperatures and a roll-in oil and fat composition using the plastic oil and fat having excellent extensibility and excellent meltability in the mouth in a wide range of temperatures. This roll-in oil and fat composition that has a stiff texture and exhibits excellent extensibility and superior intraoral solubility over a wide range of temperature is obtained by using a transesterified oil and fat which contains, with respect to the total amount of all constituent fatty acids, 5-25 wt % of lauric acid, 5-25 wt % of palmitic acid, and 10-35 wt % of stearic acid, and in which the weight ratio of stearic acid to palmitic acid (stearic acid/palmitic acid) is 0.5-7.

Abstract: An object authentication device includes a speech recognition unit configured to obtain candidates for a speech recognition result for an input speech and a likelihood of the speech as a speech likelihood and an image model generation unit configured to obtain image models of a predetermined number of candidates for the speech recognition result in descending order of speech likelihoods, wherein the image model generation unit initially performs retrieval from an image model database storing the image models when the image models for the candidates for the speech recognition result are generated and generates an image model from information acquired from a network if the image model is not stored in the image model database.

Abstract: An object authentication device includes a speech recognition unit configured to obtain candidates for a speech recognition result for an input speech and a likelihood of the speech as a speech likelihood, an image model generation unit configured to obtain image models of a predetermined number of candidates for the speech recognition result in descending order of speech likelihoods, an image likelihood calculation unit configured to obtain an image likelihood based on an image model of an input image, and an object authentication unit configured to perform object authentication using the image likelihood, wherein vocabularies predicted through speech recognition are categorized and the image model is formed in association with a category.

Abstract: A roll-in oil and fat composition is prepared, in which 45 to 95% by weight of transesterified oils and fats, 5 to 25% by weight of a liquid oil, and less than 1% by weight of high-melting point oils and fats are contained in an oily phase, wherein the transesterified oils and fats have a lauric acid content of 5 to 25% by weight, a palmitic acid content of 5 to 25% by weight, and a stearic acid content of 10 to 35% by weight all relative to the total content of all of constituent fatty acids and have a stearic acid-to-palmitic acid weight ratio of 0.5 to 7, and the high-melting point oils and fats have an open-tubed melting point of higher than 45° C. Layered bakery food is produced using the roll-in oil and fat composition.

Abstract: An interaction device includes a voice collection unit that collects a speech of a speaker, a voice recognition section that recognizes voice of the speech collected by the voice collection unit, a speech content understanding section that understands a speech content on the basis of the recognized content, a response sentence generation section that generates a response sentence in accordance with the speech content, an output unit that outputs the response sentence, a detection section that detects that the speech between the speaker and the interaction device has been broken, and a connection control section that controls a connection between the speaker and a person in charge of a center on the basis of the speech content understood by the speech content understanding section and a vacant state of the person in charge of the center when the speech has been broken.

Abstract: A reminder notification system includes: a position acquisition unit configured to acquire a position of a user; a target position setting unit configured to set a target position; and a reminder notification unit configured to provide a reminder about a proximity area close to the target position set in the target position setting unit when the position of the user is in the proximity area, wherein the target position setting unit sets the target position associated with a predetermined category, and wherein the reminder notification unit provides the reminder when the position of the user arrives at at least one proximity area of a plurality of the target positions belonging to the predetermined category.

Abstract: An object recognition device includes an imaging device configured to capture an image including a recognition target object, an image model configured to pre-accumulate image data, and an image recognition unit configured to authenticate the object of the captured image using the image captured by the imaging device and the image model, wherein when an unauthenticated object is present, the image recognition unit retrieves and acquires an image of the unauthenticated object via a network, generates the image data from the acquired image, and recognizes an object name of the object on the basis of the generated image data.

Abstract: An object authentication device includes a speech recognition unit configured to obtain candidates for a speech recognition result for an input speech and a likelihood of the speech as a speech likelihood and an image model generation unit configured to obtain image models of a predetermined number of candidates for the speech recognition result in descending order of speech likelihoods, wherein the image model generation unit initially performs retrieval from an image model database storing the image models when the image models for the candidates for the speech recognition result are generated and generates an image model from information acquired from a network if the image model is not stored in the image model database.

Abstract: An object authentication device includes a speech recognition unit configured to obtain candidates for a speech recognition result for an input speech and a likelihood of the speech as a speech likelihood, an image model generation unit configured to obtain image models of a predetermined number of candidates for the speech recognition result in descending order of speech likelihoods, an image likelihood calculation unit configured to obtain an image likelihood based on an image model of an input image, and an object authentication unit configured to perform object authentication using the image likelihood, wherein vocabularies predicted through speech recognition are categorized and the image model is formed in association with a category.

Abstract: A reminder notification system includes: a position acquisition unit configured to acquire a position of a user; a target position setting unit configured to set a target position; and a reminder notification unit configured to provide a reminder about a proximity area close to the target position set in the target position setting unit when the position of the user is in the proximity area, wherein the target position setting unit sets the target position associated with a predetermined category, and wherein the reminder notification unit provides the reminder when the position of the user arrives at at least one proximity area of a plurality of the target positions belonging to the predetermined category.

Abstract: 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.

Abstract: A speech dialogue system generates a response sentence in a way to improve the efficiency of the dialogue with the user, based on a result of estimation on an attribute of a proper name in an utterance of a user. The system includes a database attribute estimation unit to estimate the attribute of the input proper name by utilizing a database, and a web attribute estimation unit to estimate an attribute of an input proper name by utilizing information on the web. A reliability integration unit calculates integrated reliability of estimation for each of possible attributes obtained from the estimation by the units, by integrating first reliability of the estimation. A response generation unit generates a response sentence to an input utterance based on the integrated reliabilities of the possible attributes.

Abstract: A first domain satisfying a first condition concerning a current utterance understanding result and a second domain satisfying a second condition concerning a selection history are specified. For each of the first and second domains, indices representing reliability in consideration of the utterance understanding history, selection history, and utterance generation history are evaluated. Based on the evaluation results, one of the first, second, and third domains is selected as a current domain according to a selection rule.

Abstract: A speech recognition apparatus includes a speech input unit that receives input speech, a phoneme recognition unit that recognizes phonemes of the input speech and generates a first phoneme sequence representing corrected speech, a matching unit that matches the first phoneme sequence with a second phoneme sequence representing original speech, and a phoneme correcting unit that corrects phonemes of the second phoneme sequence based on the matching result.

Abstract: An apparatus is provided for classifying targets into a known-object group and an unknown-object group. The apparatus includes a speech/image data storage unit configured to store a spoken sound of a name of an object and an image of the object; a unit configured to calculate a speech confidence level of a speech for the name of the object with reference to a spoken sound of a name of a known object; a unit configured to calculate an image confidence level of an image of an object with respect to an image of a known object; and a unit configured to compare an evaluation value, which is obtained by combining the speech confidence level and image confidence level, with a threshold value, and classify a target object into an object group determined according to whether the spoken sound of the name and the image are known or unknown.

Abstract: The invention provides a dialogue-based learning apparatus through dialogue with users comprising: a speech input unit (10) for inputting speeches; a speech recognition unit (20) for recognizing the input speech; and a behavior and dialogue controller (30) for controlling behaviors and dialogues according to speech recognition results, wherein the behavior and dialogue controller (30) has a topic recognition expert (34) to memorise contents of utterances and to retrieve the topic that best matches the speech recognition results, and a mode switching expert (35) to control mode switching in accordance with a user utterance, wherein the mode switching expert switches modes in accordance with a user utterance, wherein the topic recognition expert registers a plurality words in the utterance as topics in first mode, performs searches from among the registered topics, and selects the maximum likelihood topic in second mode.

Abstract: A referring expression processor which uses a probabilistic model and in which referring expressions including descriptive, anaphoric and deictic expressions are understood and generated in the course of dialogue is provided. The referring expression processor according to the present invention includes: a referring expression processing section which performs at least one of understanding and generation of referring expressions using a probabilistic model constructed with a referring expression Bayesian network, each referring expression Bayesian network representing relationships between a reference domain (D) which is a set of possible referents, a referent (X) in the reference domain, a concept (C) concerning the referent and a word (W) which represents the concept; and a memory which stores data necessary for constructing the referring expression Bayesian network.

Abstract: A speech dialogue system generates a response sentence in a way to improve the efficiency of the dialogue with the user, based on a result of estimation on an attribute of a proper name in an utterance of a user. The system includes a database attribute estimation unit to estimate the attribute of the input proper name by utilizing a database, and a web attribute estimation unit to estimate an attribute of an input proper name by utilizing information on the web. A reliability integration unit calculates integrated reliability of estimation for each of possible attributes obtained from the estimation by the units, by integrating first reliability of the estimation. A response generation unit generates a response sentence to an input utterance based on the integrated reliabilities of the possible attributes.

Abstract: 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.