Abstract: First internal conductors are separated from each other in a first direction. Each of the first internal conductors includes a coil portion and a pad portion having a width larger than a width of the coil portion. The pad portions adjacent to each other in the first direction are connected to each other via a through-hole conductor and overlap each other when viewed from the first direction. When viewed from the first direction, each of the coil portions includes a first portion not overlapping the pad portion adjacent in the first direction and a second portion overlapping a part of the pad portion adjacent in the first direction. A second internal conductor is disposed on the same layer as the second portion and is positioned to overlap a portion of the pad portion adjacent in the first direction not overlapping the second portion when viewed from the first direction.

Abstract: A method and system are provided. The method includes obtaining, by a hardware processor, candidate data representing a plurality of candidates. The method further includes calculating, by the hardware processor, for each of the candidates, a temporal next state of a Recurrent Neural Network (RNN) by inputting a corresponding one of the candidates to the RNN at a current state. The method also includes merging, by the hardware processor, the temporal next state for each of the candidates to obtain the temporal next state of the RNN.

Abstract: A method, computer program product, and apparatus for adapting a trained neural network having one or more batch normalization layers are provided. The method includes adapting only the one or more batch normalization layers using adaptation data. The method also includes adapting the whole of the neural network having the one or more adapted batch normalization layers, using the adaptation data.

Abstract: A computer-implemented method of detecting a portion of audio data to be removed is provided. The method includes obtaining a recognition result of audio data. The recognition result includes recognized text data and time stamps. The method also includes extracting one or more candidate phrases from the recognition result using n-gram counts. The method further includes, for each candidate phrase, making pairs of same phrases with different time stamps and clustering the pairs of the same phrase by using differences in time stamps. The method includes further determining a portion of the audio data to be removed using results of the clustering.

Abstract: Symbol sequences are estimated using a computer-implemented method including detecting one or more candidates of a target symbol sequence from a speech-to-text data, extracting a related portion of each candidate from the speech-to-text data, detecting repetition of at least a partial sequence of each candidate within the related portion of the corresponding candidate, labeling the detected repetition with a repetition indication, and estimating whether each candidate is the target symbol sequence, using the corresponding related portion including the repetition indication of each of the candidates.

Abstract: An electronic component unit includes: an electronic module in which a rear substrate is electrically connected via an electric cable to an electronic element; an external connection terminal that is electrically connected to an external circuit; a relay substrate including a terminal connection electrode to which the external connection terminal is electrically connected either directly or via a connection conductor; and a relay connector on the relay substrate. The electronic element is any one of: an imaging element; a laser element; and a sensor element.

Abstract: A technique for detecting a signal tone in an audio signal is disclosed. A determination is made as to whether a peak modulation frequency in the audio signal is in a specific range or not to obtain a determination result. A measure regarding a modulation spectrum of the audio signal is calculated. The measure is calculated based on at least components of the modulation spectrum above a specific limit of modulation frequency. By using the determination result and the measure regarding the modulation spectrum, a judgement is done as to whether the audio signal contains a signal tone or not.

Abstract: A computer-implemented method includes obtaining training data including utterances of speakers in acoustic conditions, preparing at least one machine learning model, each machine learning model including a common embedding model for converting an utterance into a feature vector and a classification model for classifying the feature vector, and training, by using the training data, the machine learning model to perform classification by speaker and to perform classification by acoustic condition.

Abstract: A computer-implemented method includes obtaining, using a hardware processor, training data including utterances of speakers and performing tasks to train a machine learning model that converts an utterance into a feature vector, each task using one subset of multiple subsets of training data. The subsets of training data include a first subset of training data including utterances of a first number of speakers and at least one second subset of training data. Each second subset of training data includes utterances of a number of speakers that is less than the first number of speakers.

Abstract: A semiconductor film includes a cluster of semiconductor quantum dots each having a metal atom and ligands coordinating to respective semiconductor quantum dots, and the semiconductor quantum dots have an average shortest inter-dot distance of less than 0.45 nm. A solar cell, a light-emitting diode, a thin film transistor, and an electronic device include the semiconductor film.

Abstract: A computer-implemented method for generating a text is disclosed. The method includes obtaining a first text collection matched with a target domain and a second text collection including a plurality of samples, each of which describes rewriting between a first text and a second text that has a style different from the first text. The method also includes training a text generation model with the first text collection and the second text collection, in which the text generation model has, in a vocabulary, one or more operation tokens indicating rewriting. The method further includes outputting a plurality of texts obtained from the text generation model.

Abstract: A pressure reducing valve for gas is provided in which a connecting passage providing a connection between a passage and a pressure action chamber is formed within a valve body, a guide hole guiding movement of the valve body between a spring chamber and a high pressure chamber is formed within a body, a spring linked to a piston and urging the valve body in an opening direction is provided within the spring chamber, and a seal member providing a seal between the high pressure chamber and the spring chamber is disposed between the guide hole and the valve body. This provides a pressure reducing valve for gas that can suppress problems based on a decrease in the temperature of a pressure reducing valve.

Abstract: Described are microneedle devices comprising an electron beam crosslinked or photocrosslinked polymer material, and methods of making and using them, such as for drug delivery or sampling biological fluids.

Abstract: Method, apparatus, and computer program product are provided for customizing an automatic closed captioning system. In some embodiments, at a data use (DU) location, an automatic closed captioning system that includes a base model is provided, search criteria are defined to request from one or more data collection (DC) locations, a search request based on the search criteria is sent to the one or more DC locations, relevant closed caption data from the one or more DC locations are received responsive to the search request, the received relevant closed caption data are processed by computing a confidence score for each of a plurality of data sub-sets of the received relevant closed caption data and selecting one or more of the data sub-sets based on the confidence scores, and the automatic closed captioning system is customized by using the selected one or more data sub-sets to train the base model.

Abstract: A technique for detecting a music segment in an audio signal is disclosed. A time window is set for each section in an audio signal. A maximum and a statistic of the audio signal within the time window are calculated. A density index is computed for the section using the maximum and the statistic. The density index is a measure of the statistic relative to the maximum. The section is estimated as a music segment based, at least in part, on a condition with respect to the density index.

Abstract: A computer-implemented method is provided for generating a plurality of templates. The method includes obtaining, by a processor device, a Recurrent Neural Network Language Model (RNNLM) trained using a first set of text data. The method further includes adapting, by the processor device, the RNNLM using a second set of text data by adding a new node corresponding to a class in both an input layer and an output layer of the RNNLM, the class being obtained from the second set of text data. The method also includes generating, by the processor device, the plurality of templates using the adapted RNNLM.

Abstract: An apparatus, method, and computer program product for adapting an acoustic model to a specific environment are defined. An adapted model obtained by adapting an original model to the specific environment using adaptation data, the original model being trained using training data and being used to calculate probabilities of context-dependent phones given an acoustic feature. Adapted probabilities obtained by adapting original probabilities using the training data and the adaptation data, the original probabilities being trained using the training data and being prior probabilities of context-dependent phones. An adapted acoustic model obtained from the adapted model and the adapted probabilities.

Abstract: The present disclosure provides an energy management system capable of improving energy efficiency. The energy management system includes: a fuel cell configured to supply energy used in a facility; a first hydrogen supply unit configured to supply hydrogen to the fuel cell by causing a power generation apparatus that uses renewable energy to perform water electrolysis; a second hydrogen supply unit configured to supply hydrogen to the fuel cell by reforming natural gas supplied via a pipeline; and a control unit configured to determine a ratio between hydrogen supplied from the first hydrogen supply unit to the fuel cell and hydrogen supplied from the second hydrogen supply unit to the fuel cell. The control unit determines the ratio in accordance with a percentage of heat energy and energy other than the heat energy with respect to the energy used in the facility.

Abstract: In a piezoelectric device, electrode layers are spaced apart from each other in the direction of the normal thereto. A first piezoelectric layer is interposed between two electrode layers of electrode layers in the direction of the normal. A second piezoelectric layer is provided on an opposite side of the first piezoelectric layer from a base portion. The second piezoelectric layer is interposed between two electrode layers of the electrode layers in the direction of the normal. The half-width of a rocking curve measured by X-ray diffraction for a lattice plane of the first piezoelectric layer substantially parallel to a first main surface is smaller than a half-width for the second piezoelectric layer. The piezoelectric constant of a material defining the first piezoelectric layer is smaller than the piezoelectric constant of a material defining the second piezoelectric layer.

Abstract: An apparatus, method, and computer program product for adapting an acoustic model to a specific environment are defined. An adapted model obtained by adapting an original model to the specific environment using adaptation data, the original model being trained using training data and being used to calculate probabilities of context-dependent phones given an acoustic feature. Adapted probabilities obtained by adapting original probabilities using the training data and the adaptation data, the original probabilities being trained using the training data and being prior probabilities of context-dependent phones. An adapted acoustic model obtained from the adapted model and the adapted probabilities.