Abstract: A TFT layer and an organic EL element layer are provided in this order on a resin substrate layer, the TFT layer includes source wiring lines, high-level power source wiring lines, conductive portions including connection wiring lines between TFTs, and a flattening film covering the conductive portions provided on the interlayer insulating film, a frame region is provided with a bending portion including a portion where a slit is formed in an inorganic insulating film including the interlayer insulating film, and a flattening auxiliary film is provided between each adjacent ones of the conductive portions, formed of a material identical to a material of the frame flattening film that fills the slit of the bending portion, in a layer identical to a layer of the frame flattering film, and covered with the flattening film together with the conductive portions.

Abstract: An information processing device includes a specifier, a guide screen generator, and an output controller. The specifier specifies an autonomous traveling startable point on a teaching path. The teaching path extends from a predetermined position to a target position in a real space. The guide screen generator generates a guide screen for guiding a moving body to the autonomous traveling startable point. The output controller outputs the guide screen before start of autonomous traveling.

Abstract: A cooling apparatus for a vehicle includes air-cooling first and second heat exchangers that are placed beside each other. A coolant flow-out portion of the first heat exchanger from which a first coolant which is a cooling target of the first heat exchanger flows out and a coolant flow-out portion of the second heat exchanger from which a second coolant which is a cooling target of the second heat exchanger flows out are placed at ends at opposite positions separated along a diagonal line on a parallel placement surface of the two heat exchangers. A first cooling fan is placed opposing the coolant flow-out portion of the first heat exchanger, and a second cooling fan is placed opposing the coolant flow-out portion of the second heat exchanger. With this configuration, cooling performance of two air-cooling heat exchangers placed beside each other can be improved.

Abstract: A wiring substrate includes a substrate, and a conductor layer formed on the substrate and including copper such that the conductor layer is patterned. The conductor layer is formed such that the upper surface of the conductor layer has a width that is equal to or larger than a width of the lower surface of the conductor layer and that the width of the lower surface is larger than the minimum width of a middle portion of the conductor layer between the upper surface and the lower surface.

Abstract: A speech recognition apparatus includes: an output unit that outputs a first probability that is a probability of a character sequence corresponding to a speech sequence indicated by speech data and a second probability that is a probability of a phoneme sequence corresponding to the speech sequence, by using a neural network that outputs the first probability and the second probability, when the speech data are inputted; and an update unit that updates the first probability on the basis of the second probability and dictionary data in which a registered character is associated with a registered phoneme that is a phoneme of the registered character.

Abstract: An authentication device is provided with: a plurality of attribute-dependent score calculation units each calculating an attribute-dependent score dependent on a prescribed attribute for input data; an attribute-independent score calculation unit for calculating an attribute-independent score independent of the attribute for the input data; an attribute estimation unit for performing attribute estimation for the input data; and a score integration unit for determining a score weight of each of a plurality of attribute-dependent scores and of the attribute-independent score using the result of the attribute estimation and calculating an output score using the attribute-dependent scores, the attribute-independent score, and the determined score weights.

Abstract: A biometric authentication device is provided with: a replay unit for reproducing a sound; an ear authentication unit for acquiring a reverberation sound of the sound in an ear of a user to be authenticated, extracting an ear acoustic feature from the reverberation sound, and calculating an ear authentication score by comparing the extracted ear acoustic feature with an ear acoustic feature stored in advance; a voice authentication unit for extracting a talker feature from a voice of the user that has been input, and calculating a voice authentication score by comparing the extracted talker feature with a talker feature stored in advance; and an authentication integration unit for outputting an authentication integration result calculated based on the ear authentication score and the voice authentication score. After the sound is output into the ear, a recording unit inputs the voice of the user.

Abstract: A biometric authentication device is provided with: a replay unit for reproducing a sound; an ear authentication unit for acquiring a reverberation sound of the sound in an ear of a user to be authenticated, extracting an ear acoustic feature from the reverberation sound, and calculating an ear authentication score by comparing the extracted ear acoustic feature with an ear acoustic feature stored in advance; a voice authentication unit for extracting a talker feature from a voice of the user that has been input, and calculating a voice authentication score by comparing the extracted talker feature with a talker feature stored in advance; and an authentication integration unit for outputting an authentication integration result calculated based on the ear authentication score and the voice authentication score. After the sound is output into the ear, a recording unit inputs the voice of the user.

Abstract: A biometric authentication device is provided with: a replay unit for reproducing a sound; an ear authentication unit for acquiring a reverberation sound of the sound in an ear of a user to be authenticated, extracting an ear acoustic feature from the reverberation sound, and calculating an ear authentication score by comparing the extracted ear acoustic feature with an ear acoustic feature stored in advance; a voice authentication unit for extracting a talker feature from a voice of the user that has been input, and calculating a voice authentication score by comparing the extracted talker feature with a talker feature stored in advance; and an authentication integration unit for outputting an authentication integration result calculated based on the ear authentication score and the voice authentication score. After the sound is output into the ear, a recording unit inputs the voice of the user.

Abstract: A biometric authentication device is provided with: a replay unit for reproducing a sound; an ear authentication unit for acquiring a reverberation sound of the sound in an ear of a user to be authenticated, extracting an ear acoustic feature from the reverberation sound, and calculating an ear authentication score by comparing the extracted ear acoustic feature with an ear acoustic feature stored in advance; a voice authentication unit for extracting a talker feature from a voice of the user that has been input, and calculating a voice authentication score by comparing the extracted talker feature with a talker feature stored in advance; and an authentication integration unit for outputting an authentication integration result calculated based on the ear authentication score and the voice authentication score. After the sound is output into the ear, a recording unit inputs the voice of the user.

Abstract: An information processing apparatus 100 includes an acquisition unit 105 configured to acquire material data that is to be used for generation of a virtual viewpoint image that is based on a plurality of captured images obtained by a plurality of cameras 101 performing image capturing of a subject, and is material data represented by a first format, a conversion unit 107 configured to convert, based on information for identifying a format of material data processable by a different apparatus being an output destination of the material data, a format of the acquired material data from the first format into a second format, and a transmission/reception unit 108 configured to output the material data converted into the second format, to the different apparatus.

Abstract: A feature vector having high class identification capability is generated. A signal processing system provided with: a first generation unit for generating a first feature vector on the basis of one of time-series voice data, meteorological data, sensor data, and text data, or on the basis of a feature quantity of one of these; a weight calculation unit for calculating a weight for the first feature vector; a statistical amount calculation unit for calculating a weighted average vector and a weighted high-order statistical vector of second or higher order using the first feature vector and the weight; and a second generation unit for generating a second feature vector using the weighted high-order statistical vector.

Abstract: An information processing apparatus identifies a sub region of an object, displayed in a virtual viewpoint image representing a view from a virtual viewpoint, based on virtual viewpoint information, and outputs division model data corresponding to the identified sub region out of foreground model data.

Abstract: An information processing apparatus includes a management unit configured to acquire a plurality of material data for use in generation of a virtual viewpoint image based on a plurality of images captured with a plurality of cameras by imaging an object, the plurality of material data including first material data and second material data different from the first material data, and a transmission/reception unit configured to output, to a device, material data that has been selected from among the plurality of acquired material data based on information for identifying a format of material data processable by the device.

Abstract: The voice registration device 1X mainly includes a noise reproduction means 220X, a voice data acquisition means 200X, and a voice registration means 210X. The noise reproduction means 220X is configured to reproduce noise data during a time period in which voice input from a user is performed. The voice data acquisition means 200X is configured to acquire the voice data based on the voice input. The voice registration means 210X is configured to register the voice data or data generated based on the voice data as data to be used for verification relating to a voice of the user.

Abstract: A speech feature extraction apparatus 100 includes a voice activity detection unit 103 that drops non-voice frames from frames corresponding to an input speech utterance, and calculates a posterior of being voiced for each frame, a voice activity detection process unit 106 calculates a function value as weights in pooling frames to produce an utterance-level feature, from a given a voice activity detection posterior, and an utterance-level feature extraction unit 112 that extracts an utterance-level feature, from the frame on a basis of multiple frame-level features, using the function values.

Abstract: The information processing device is provided in a feature extraction block in a neural network. The information processing device acquires a local feature quantity group constituting one unit of information, and computes a weight corresponding to a degree of importance of each local feature quantity. Next, the information processing device computes a weighted statistic for a whole of the local feature quantity group using the computed weights, and deforms and outputs the local feature quantity group using the computed weighted statistic.

Abstract: A speaker recognition system includes a non-transitory computer readable medium configured to store instructions. The speaker recognition system further includes a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for extracting acoustic features from each frame of a plurality of frames in input speech data. The processor is configured to execute the instructions for calculating a saliency value for each frame of the plurality of frames using a first neural network (NN) based on the extracted acoustic features, wherein the first NN is a trained NN using speaker posteriors. The processor is configured to execute the instructions for extracting a speaker feature using the saliency value for each frame of the plurality of frames.

Abstract: Provided is a first acoustic information acquisition unit configured to acquire a first acoustic information obtained by receiving a sound wave emitted from a first sound source by a wearable device worn by a user, a second acoustic information acquisition unit configured to acquire a second acoustic information obtained by receiving a sound wave emitted from a second sound source that is different from the first sound source by the wearable device, and a third acoustic information acquisition unit configured to acquire a third acoustic information used for biometric matching of the user based on the first acoustic information and the second acoustic information.

Abstract: An authentication device is provided with: a plurality of attribute-dependent score calculation units each calculating an attribute-dependent score dependent on a prescribed attribute for input data; an attribute-independent score calculation unit for calculating an attribute-independent score independent of the attribute for the input data; an attribute estimation unit for performing attribute estimation for the input data; and a score integration unit for determining a score weight of each of a plurality of attribute-dependent scores and of the attribute-independent score using the result of the attribute estimation and calculating an output score using the attribute-dependent scores, the attribute-independent score, and the determined score weights.