Abstract: Embodiments relate to a coating, adhesive, sealant, elastomer, or reaction injection molded material forming polyurethane composition that comprises an isocyanate component that includes at least one isocyanate-terminated prepolymer, and an isocyanate reactive component that includes at least one Lewis acid catalyst polymerized polyether polyol having a weight average molecular weight from 200 g/mol to 1,000 g/mol, an average primary hydroxyl group content of at least 30%, and an average acetal content of at least 0.05 wt %.

Abstract: A student neural network may be trained by a computer-implemented method, including: inputting common input data to each teacher neural network among a plurality of teacher neural networks to obtain a soft label output among a plurality of soft label outputs from each teacher neural network among the plurality of teacher neural networks, and training a student neural network with the input data and the plurality of soft label outputs.

Abstract: A transducer includes a first connection portion connecting a first tip and a second tip to each other. The first connection portion is surrounded by a split slit connecting a center of the first tip, a center of a base, and a center of the second tip, the first tip, and the second tip.

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: An airport according to the present disclosure is an airport where a vehicle is provided. The vehicle includes external supply means for supplying power to outside, and the airport includes power receiving equipment capable of receiving power from the vehicle via the external supply means. The present disclosure provides an airport capable of receiving power from a vehicle provided in the airport in the event of a power failure due to a disaster.

Abstract: A student neural network may be trained by a computer-implemented method, including: selecting a teacher neural network among a plurality of teacher neural networks, inputting an input data to the selected teacher neural network to obtain a soft label output generated by the selected teacher neural network, and training a student neural network with at least the input data and the soft label output from the selected teacher neural network.

Abstract: A computer-implemented method is provided for generating a language model for an application. The method includes estimating interpolation weights of each of a plurality of language models according to an Expectation Maximization (EM) algorithm based on a first metric. The method further includes classifying the plurality of language models into two or more sets based on characteristics of the two or more sets. The method also includes estimating a hyper interpolation weight for the two or more sets based on a second metric specific to the application. The method additionally includes interpolating the plurality of language models using the interpolation weights and the hyper interpolation weight to generate a final language model.

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: A computer-implemented method for fusing an end-to-end speech recognition model with an external language model (ExternalLM) is provided. The method includes obtaining an output of the end-to-end speech recognition model. The output is a probability distribution. The method further includes transforming, by a hardware processor, the probability distribution into a transformed probability distribution to relax a sharpness of the probability distribution. The method also includes fusing the transformed probability distribution and a probability distribution of the ExternalLM for decoding speech.

Abstract: A piezoelectric device includes a connection section including a first coupling portion, a second coupling portion, and a bridging portion. The first coupling portion extends along a slit and is connected to one of a pair of beam sections. The second coupling portion extends along the slit and is connected to another of the pair of beam sections. The bridging portion is located between the slit and an opening and is connected to both of the first coupling portion and the second coupling portion. The beam sections are connected to each other in a circumferential direction of a base having an annular shape via the connecting section while each of the beam sections is interposed between the slits extending in intersecting directions.

Abstract: Fusion of neural networks is performed by obtaining a first neural network and a second neural network. The first and the second neural networks are the result of a parent neural network subjected to different training. A similarity score is calculated of a first component of the first neural network and a corresponding second component of the second neural network. An interpolation weight is determined for the first and the second components by using the similarity score. A neural network parameter of the first component is updated based on the interpolation weight and a corresponding neural network parameter of the second component to obtain a fused neural network.

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: An approach for improving speech recognition is provided. A processor receives a new word to add to a prefix tree. A processor determines a bonus score for a first transition from a first node to a second node in a prefix tree on condition that the first transition is included in a path of at least one transition representing the new word. A processor determines a hypothesis score for a hypothesis that corresponds to a speech sequence based on the prefix tree, where the hypothesis score adds the bonus score to an initial hypothesis score to determine the hypothesis score. In response to a determination that the hypothesis score exceeds a threshold value, a processor generates an output text sequence for the speech sequence based on the hypothesis.

Abstract: A one-component type polyurethane prepolymer composition comprises a reaction product formed through a reaction between reactants comprising (a) at least one polyisocyanate, and (b) a polyol blend comprising at least one bifunctional polyether polyol, wherein the bifunctional polyether polyol is a homopolymer of propylene oxide, homopolymer of butylene oxide, or copolymer of alkylene oxide, and has a number average molecular weight from 3000 g/mol to 9000 g/mol, and at least one trifunctional polyether polyol, wherein the trifunctional polyether polyol is a copolymer of alkylene oxide and end-capped with 10 wt % to 28 wt %, by the total weight of the trifunctional polyether polyol, of ethylene oxide, and has a number average molecular weight from 5000 g/mol to 8000 g/mol, wherein the bifunctional polyether polyol and the trifunctional polyether polyol are present in a parts by weight ratio from 4:1 to 2.

Abstract: An ultrasonic transducer includes first and second acoustic transducers and a housing with a bottomed tubular shape. The second acoustic transducer includes an annular section supporting a second membrane section and contacting an entire periphery of the second membrane section, and an acoustic matching plate facing the second membrane section and spaced apart from the second membrane section. The acoustic matching plate is connected to a surrounding wall portion defining a sealed space with the housing. An ultrasonic transmission path sandwiched between the first membrane section and the second membrane section is provided in the sealed space. A maximum inner width of the ultrasonic transmission path is smaller than a maximum inner width of the surrounding wall portion.

Abstract: A method, computer system, and a computer program product for audio data augmentation are provided. Sets of audio data from different sources may be obtained. A respective normalization factor for at least two sources of the different sources may be calculated. The normalization factors from the at least two sources may be mixed to determine a mixed normalization factor. A first set of the sets may be normalized by using the mixed normalization factor and to obtain training data for training an acoustic model.

Abstract: A system and method for expanding a question and answer (Q&A) database. The method includes obtaining a set of Q&A documents and speech recognition results, each Q&A document in the set having an identifier, and each speech recognition result having an identifier common with the identifier of a relevant Q&A document, and adding one or more repetition parts extracted from the speech recognition results to a corresponding Q&A document in the set to generate an expanded set of Q&A documents for increasing Q&A document extraction accuracy.

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 piezoelectric device includes a connecting section connecting a pair of beam sections adjacent to each other. The connecting section is connected to one of the pair of beam sections at a first end portion. The connecting section is connected to another of the pair of beam sections at a second end portion. The second end portion faces the first end portion in a direction in which the pair of beam sections are aligned. A second coupling portion is located along a first coupling portion. The connecting section includes only one first end portion. The connecting section includes only one second end portion. Each of the first end portion and the second end portion is closer to a tip end portion than to a fixed end portion of each of the pair of beam sections.

Abstract: Methods and systems for information retrieval include analyzing audio data to produce word hypotheses. Displaying the word hypotheses in motion at different respective speeds at once across a graphical display. Information is retrieved in accordance with one or more selected terms from the displayed word hypotheses.