Abstract: A voice extraction device according to the present invention includes a formation unit, an acquisition unit, an emphasis unit, a generation unit, and a selection unit. The formation unit forms directivity through beam-forming processing for each microphone in a microphone array including a plurality of microphones that form a plurality of channels. The acquisition unit acquires an observation signal that is a signal of voice received by each of the channels. The emphasis unit generates an emphasized signal by emphasizing the observation signal in accordance with the directivity formed by the formation unit. The generation unit generates, for each channel, frequency distribution of amplitude of the emphasized signal generated by the emphasis unit. The selection unit selects a channel corresponding to a voice signal used for voice recognition from among the channels based on the frequency distribution corresponding to the respective channels generated by the generation unit.

Abstract: An inference device disclosed herein includes an identifying unit, and an inferring unit. The identifying unit identifies a set of a predetermined phenomenon, an effect having a causal relation with the predetermined phenomenon, and a polarity of the effect, from concept information in which a phenomenon, an effect having a causal relation with the phenomenon, a polarity to be an indicator of advantages and disadvantages caused by the effect to a user. The inferring unit infers an effect caused when the predetermined phenomenon occurs, and advantages and disadvantages caused by the effect based on the set identified by the identifying unit.

Abstract: An information processing apparatus discloses herein includes an acquiring unit and an estimating unit. The acquiring unit acquires a plurality of pieces of identity information including a keyword based on an operation performed by a user. The estimating unit estimates an age group of the user based on the plurality of pieces of identity information acquired by the acquiring unit.

Abstract: A creating device according to the present application includes an acquiring unit, and a creating unit. The acquiring unit acquires a plurality of pieces of triple information indicating a relationship related to three types of elements. The creating unit creates, from among the pieces of the triple information acquired by the acquiring unit, association information that associates a triple information group having a predetermined relationship related to the three types of elements.

Abstract: An information processing apparatus according to the present application includes an acquiring unit and a notification unit. The acquiring unit acquires riding position information related to a position of a virtual riding point that corresponds to a riding point that is used to ride in a moving vehicle and that is virtual set. The notification unit notifies, when a user satisfies condition information that indicates a condition related to behavior of the user approaching the virtual riding point, the user of the information related to the position indicated by the riding position information.

Abstract: An information processing apparatus according to the present application includes an acquiring unit and a notification unit. The acquiring unit acquires riding position information related to a position of a virtual riding point that corresponds to a riding point that is used to ride in a moving vehicle and that is virtual set. The notification unit notifies, when a user satisfies condition information that indicates a condition related to behavior of the user approaching the virtual riding point, the user of the information related to the position indicated by the riding position information.

Abstract: An information processing apparatus according to the present application includes a classification unit, a conversion unit, a label acquiring unit. The classification unit that classifies a feature vector by using a classification vector, the feature vector being converted from target data. The conversion unit that converts the feature vector into an embedding vector in accordance with a conversion rule according to classification performed by the classification unit. The label acquiring unit that acquires, as one or more labels to be provided to the target data, one or more labels acquired based on the embedding vector converted by the conversion unit.

Abstract: A generation apparatus according to an embodiment includes an acquiring unit and a generating unit. The acquiring unit acquires information on usage of a moving image content used via a partial moving image that is used as a key image of the moving image content in a terminal device that is a distribution destination of the partial moving image. The generating unit generates a partial moving image corresponding to the moving image content on the basis of the information acquired by the acquiring unit.

Abstract: A calculation device according to the present application includes an acquiring unit and a calculation unit. The acquiring unit that acquires a plurality of pieces of first triple information indicating a relationship related to three types of elements and a plurality of pieces of second triple information obtained based on a conceptual system in the plurality of pieces of the first triple information. The calculation unit that calculates statistical information related to the plurality of pieces of the first triple information based on the number of pieces of the first triple information associated with each of the plurality of pieces of the second triple information acquired by the acquiring unit.

Abstract: A generation device according to the subject application includes an acquiring unit and a generating unit. The acquiring unit acquires multiple pieces of vector information that correspond to each search target during the proximity search. The generating unit generates multiple pieces of centroid information, in which each piece of vector information is related in accordance with a distance for vector quantization, based on multiple pieces of vector information acquired by the acquiring unit such that a difference in the number of pieces of vector information related to each piece of centroid information falls within a predetermined value.

Abstract: A learning device includes a classification unit that classifies data to be determined by using a learner configured to classify data based on a predetermined feature among features included in the data. The learning device includes an estimation unit that estimates, from classification results according to the classification unit, the behavior of the probability of a mistake occurring in the classification results according to the classification unit based on a large deviation principle. The learning device includes a determination unit that determines, based on the behavior estimated by the estimation unit, whether to add a new feature to an object to be learned for the learner.

Abstract: An output device includes an acquiring unit that acquires a plurality of pieces of output information generated from predetermined target information by a plurality of models each of which generates, from input information, output information that includes a plurality of pieces of information having an order relation. The output device includes a selecting unit that selects, based on a similarity between the plurality of pieces of output information, from among the plurality of pieces of output information, output information that is to be output as association information associated with the target information. The output device includes an output unit that outputs, as the association information, the output information selected by the selecting unit.

Abstract: A generating device according to the present application includes an obtaining unit and a first generating unit. The obtaining unit obtains training data including an acoustic feature value of a first observation signal, a late reverberation component corresponding to the first observation signal, and a phoneme label associated with the first observation signal. The first generating unit generates an acoustic model to identify a phoneme label corresponding to a second observation signal based on the training data obtained by the obtaining unit.

Abstract: An information processing apparatus according to the present application includes an acquiring unit and a selecting unit. The acquiring unit acquires a plurality of pieces of second triple information hierarchized based on a conceptual system in a plurality of pieces of first triple information indicating a relationship about three types of elements and statistical information indicating the number of pieces of the first triple information associated with each of the plurality of pieces of the second triple information. The selecting unit selects, based on the statistical information acquired by the acquiring unit and based on a predetermined standard related to the statistical information, from among the plurality of pieces of the second triple information, a plurality of pieces of target triple information to be used for a clustering process.

Abstract: An information processing device according to the application concerned includes a generating unit and a providing unit. The generating unit generates a rating function for each node of a second-type graph which is generated from a first-type graph in which predetermined elements are treated as nodes and the relationships among the elements are treated as links, and which indicates a futuristic state of the first-type graph. The providing unit provides the information related to the second-type graph based on the rating function for the each node as generated by the generating unit.

Abstract: An extraction device according to the present application includes an acquisition unit and a notification unit. The acquisition unit makes a web search engine execute extraction processing based on an arbitrary query received from an information user and acquires, as an extraction result, the number of users corresponding to the arbitrary query from behavior histories of users to be processed. The notification unit notifies the number of users acquired by the acquisition unit to the information user who posts the arbitrary query. More specifically, based on a query related to setting of a condition about behavior or an attribution of the user, the acquisition unit acquires the number of users corresponding to the query.