Patents by Inventor Takashi Fukuda

Takashi Fukuda has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220147885
    Abstract: A tour plan generation apparatus according to the present disclosure includes an input unit configured to receive inputs of a tour request and a condition for a package tour, a concretizing unit configured to generate, as a tour plan, a concretized tour request by concretizing the input tour request and the condition, the concretized tour request being a request that satisfies the concretized condition, and an output unit configured to output the generated tour plan.
    Type: Application
    Filed: November 2, 2021
    Publication date: May 12, 2022
    Applicant: NEC Corporation
    Inventors: Takuya Kuwahara, Kozo Satoda, Takayuki Kuroda, Yutaka Yakuwa, Tatsuya Fukuda, Takashi Maruyama, Kazuki Tanabe
  • Publication number: 20220059768
    Abstract: Provided are (i) a solution for forming an organic semiconductor layer which solution has an excellent coating property, (ii) an organic semiconductor which is produced with use of the solution and which has high heat resistance, (iii) a layer which contains the organic semiconductor, and (iv) an organic thin film transistor which exhibits high electrical properties. A composition containing: an organic semiconductor; and a polymer (1) having at least one unit selected from the group consisting of units represented by formulae (1-a), (1-b), and (1-c). A composition containing the organic semiconductor, the polymer (1), and an organic solvent can be suitably used as a solution for forming an organic semiconductor layer.
    Type: Application
    Filed: December 19, 2019
    Publication date: February 24, 2022
    Applicant: TOSOH CORPORATION
    Inventors: Takahiro MORI, Takashi FUKUDA
  • Publication number: 20220051105
    Abstract: Some embodiments of the present invention are directed to techniques for training teacher neural networks (TNNs) and student neural networks (SNNs). A training data set is received with a lossless set of data and a corresponding lossy set of data. Two branches of a TNN are established, with one branch trained using the lossless data (a lossless branch) and one trained using the lossy data (a lossy branch). Weights for the two branches are tied together. The lossy branch, now isolated from the lossless branch, generates a set of soft targets for initializing an SNN. These generated soft targets benefit from the training of lossless branch through the weights that were tied together between each branch, despite isolating the lossless branch from the lossy branch during soft-target generation.
    Type: Application
    Filed: August 17, 2020
    Publication date: February 17, 2022
    Inventors: Takashi Fukuda, Samuel Thomas
  • Patent number: 11227579
    Abstract: A technique for data augmentation for speech data is disclosed. Original speech data including a sequence of feature frames is obtained. A partially prolonged copy of the original speech data is generated by inserting one or more new frames into the sequence of the feature frames. The partially prolonged copy is output as augmented speech data for training an acoustic model for training an acoustic model.
    Type: Grant
    Filed: August 8, 2019
    Date of Patent: January 18, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Toru Nagano, Takashi Fukuda, Masayuki Suzuki, Gakuto Kurata
  • Patent number: 11120820
    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.
    Type: Grant
    Filed: December 5, 2018
    Date of Patent: September 14, 2021
    Assignee: International Business Machines Corporation
    Inventors: Takashi Fukuda, Masayuki Suzuki
  • Patent number: 11106974
    Abstract: A technique for training a neural network including an input layer, one or more hidden layers and an output layer, in which the trained neural network can be used to perform a task such as speech recognition. In the technique, a base of the neural network having at least a pre-trained hidden layer is prepared. A parameter set associated with one pre-trained hidden layer in the neural network is decomposed into a plurality of new parameter sets. The number of hidden layers in the neural network is increased by using the plurality of the new parameter sets. Pre-training for the neural network is performed.
    Type: Grant
    Filed: July 5, 2017
    Date of Patent: August 31, 2021
    Assignee: International Business Machines Corporation
    Inventors: Takashi Fukuda, Osamu Ichikawa
  • Publication number: 20210249569
    Abstract: A light-emitting device including a solid-state light source that emits light having a peak wavelength in the range of 480 nm or less and a fluorescent film that covers the solid-state light source and includes at least one kind of phosphor, wherein the fluorescent film includes at least one kind of near-infrared phosphor that is excited by light from the solid-state light source, has a peak wavelength in the range exceeding 700 nm, and has an emission spectrum with a full width at half maximum of 100 nm or more in a range including the peak wavelength.
    Type: Application
    Filed: June 12, 2019
    Publication date: August 12, 2021
    Applicants: NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY, PHOENIX ELECTRIC CO., LTD., NATIONAL INSTITUTE FOR MATERIALS SCIENCE
    Inventors: Takashi FUKUDA, Tetsuya GOUDA, Yuta SAKIMOTO, Naoto HIROSAKI, Kohsei TAKAHASHI
  • Patent number: 11084381
    Abstract: A junction box controller controls a junction box including a circuit for vehicle travel that supplies power from a battery for vehicle travel to an electrical component for vehicle travel and a charging circuit including a positive electrode charging relay and an negative electrode charging relay that are for use in coupling and decoupling the battery for vehicle travel to and from an external charging power source in a state in which the positive electrode charging relay and the negative electrode charging relay are coupled to the circuit for vehicle travel. The junction box controller includes a temperature sensor that detects a temperature of the circuit for vehicle travel, and a controller that, when the temperature of the circuit for vehicle travel reaches or exceeds a preset threshold, controls and switches on either one of the positive electrode charging relay and the negative electrode charging relay.
    Type: Grant
    Filed: July 3, 2019
    Date of Patent: August 10, 2021
    Assignee: SUBARU CORPORATION
    Inventors: Tsukasa Murakami, Takashi Fukuda, Yukio Karasawa
  • Patent number: 11037583
    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.
    Type: Grant
    Filed: August 29, 2018
    Date of Patent: June 15, 2021
    Assignee: International Business Machines Corporation
    Inventors: Masayuki Suzuki, Takashi Fukuda, Toru Nagano
  • Patent number: 11003983
    Abstract: A computer-implemented method for training a front-end neural network (“front-end NN”) and a back-end neural network (“back-end NN”) is provided. The method includes combining the back-end neural network with the front-end neural network to form a joint layer to thereby generate a combined neural network. The method also includes training the combined neural network for a speech recognition with a set of utterances as training data, with the joint layer having a plurality of frames and each frame having a plurality of bins, and where one or more specific units in each frame are dropped during the training, each of the specific units being selected randomly or based on a bin number to which the respective unit is set within its frame, with the specific units corresponding to one or more common frequency bands.
    Type: Grant
    Filed: October 31, 2019
    Date of Patent: May 11, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventor: Takashi Fukuda
  • Publication number: 20210117483
    Abstract: A first user request which specifies a target document set wherein a first subset of the documents is flagged by a user. A primary flag table is created for the target document set. A first document subset is created matching the first user request. It is determined whether a number of flagged documents exceeds a first threshold. If so, a secondary flag table is created for the first document subset and flag data corresponding to the first document subset is stored in the secondary flag table. The flag data in the secondary flag table is merged into the primary flag table.
    Type: Application
    Filed: October 18, 2019
    Publication date: April 22, 2021
    Inventors: Hiroaki Kikuchi, Yuichi Suzuki, Takashi Fukuda
  • Publication number: 20210043186
    Abstract: A technique for data augmentation for speech data is disclosed. Original speech data including a sequence of feature frames is obtained. A partially prolonged copy of the original speech data is generated by inserting one or more new frames into the sequence of the feature frames. The partially prolonged copy is output as augmented speech data for training an acoustic model for training an acoustic model.
    Type: Application
    Filed: August 8, 2019
    Publication date: February 11, 2021
    Inventors: Toru Nagano, Takashi Fukuda, Masayuki Suzuki, Gakuto Kurata
  • Patent number: 10839791
    Abstract: A method is provided for training a neural network-based (NN-based) acoustic model. The method includes receiving, by a processor, the neural network-based (NN-based) acoustic model, trained by a one-hot scheme and having an input layer, a set of middle layers, and an original output layer. At least each of the middle layers subsequent to a first one of the middle layers have trained parameters. The method further includes stacking, by the processor, a new output layer on the original output layer of the NN-based acoustic model to form a new NN-based acoustic model. The new output layer has a same size as the original output layer. The method also includes retraining, by the processor, only the new output layer and the original output layer of the new NN-based acoustic model in the one-hot scheme, with the trained parameters of middle layers subsequent to at least the first one being fixed.
    Type: Grant
    Filed: June 27, 2018
    Date of Patent: November 17, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Osamu Ichikawa, Takashi Fukuda
  • Patent number: 10838994
    Abstract: Natural Language Processing (NLP) is performed on a corpus using a processor and a memory to extract a set of facets corresponding to a dimension in a set of dimensions. Using a score threshold, a subset of the set of facets is selected where each facet in the set of facets has a corresponding score relative to the corpus. A subsequent query is formed by increasing a complexity of a previous query using a facet in the subset of facets. The subsequent query is executed on at least a portion of the corpus. The documents in a new result set are ranked, the new result set being in response to executing the subsequent query. An output is produced from the new result set, which includes a ranking of that subset of documents whose ranks have changed by more than a threshold rank distance from the corresponding ranks in the corpus.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: November 17, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Takashi Fukuda, Hiroaki Kikuchi
  • Publication number: 20200356850
    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.
    Type: Application
    Filed: May 8, 2019
    Publication date: November 12, 2020
    Inventors: Takashi Fukuda, Masayuki Suzuki, Gakuto Kurata
  • Patent number: 10832129
    Abstract: A method for transferring acoustic knowledge of a trained acoustic model (AM) to a neural network (NN) includes reading, into memory, the NN and the AM, the AM being trained with target domain data, and a set of training data including a set of phoneme data, the set of training data being data obtained from a domain different from a target domain for the target domain data, inputting training data from the set of training data into the AM, calculating one or more posterior probabilities of context-dependent states corresponding to phonemes in a phoneme class of a phoneme to which each frame in the training data belongs, and generating a posterior probability vector from the one or more posterior probabilities, as a soft label for the NN, and inputting the training data into the NN and updating the NN, using the soft label.
    Type: Grant
    Filed: October 7, 2016
    Date of Patent: November 10, 2020
    Assignee: International Business Machines Corporation
    Inventors: Takashi Fukuda, Masayuki A. Suzuki, Ryuki Tachibana
  • Patent number: 10832661
    Abstract: A computer-implemented method is provided. The computer-implemented method is performed by a speech recognition system having at least a processor. The method further includes performing a speech recognition operation on the audio signal data to decode the audio signal data into a textual representation based on the estimated sound identification information from a neural network having periodic indications and components of a frequency spectrum of the audio signal data inputted thereto. The neural network includes a plurality of fully-connected network layers having a first layer that includes a plurality of first nodes and a plurality of second nodes. The method further comprises training the neural network by initially isolating the periodic indications from the components of the frequency spectrum in the first layer by setting weights between the first nodes and a plurality of input nodes corresponding to the periodic indications to 0.
    Type: Grant
    Filed: October 28, 2019
    Date of Patent: November 10, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Takashi Fukuda, Osamu Ichikawa, Bhuvana Ramabhadran
  • Patent number: 10783882
    Abstract: Acoustic change is detected by a method including preparing a first Gaussian Mixture Model (GMM) trained with first audio data of first speech sound from a speaker at a first distance from an audio interface and a second GMM generated from the first GMM using second audio data of second speech sound from the speaker at a second distance from the audio interface; calculating a first output of the first GMM and a second output of the second GMM by inputting obtained third audio data into the first GMM and the second GMM; and transmitting a notification in response to determining at least that a difference between the first output and the second output exceeds a threshold. Each Gaussian distribution of the second GMM has a mean obtained by shifting a mean of a corresponding Gaussian distribution of the first GMM by a common channel bias.
    Type: Grant
    Filed: January 3, 2018
    Date of Patent: September 22, 2020
    Assignee: International Business Machines Corporation
    Inventors: Osamu Ichikawa, Gakuto Kurata, Takashi Fukuda
  • Publication number: 20200293566
    Abstract: Embodiments are directed to a system, computer program product, and method for text mining, and dynamic facet and facet value management and application to a document collection. Two or more words from a first document collection are extracted, with the extracted words being associated with an applied annotation. At least one word is selected from the extracted words, designated as a facet, and a value is selectively added to the facet. An analysis of the added value is dynamically performed, and a dictionary with the annotation, facet, and values is constructed and the dictionary is applied to the document collection. A targeted list of documents is returned from the dictionary application to the document collection.
    Type: Application
    Filed: May 28, 2020
    Publication date: September 17, 2020
    Applicant: International Business Machines Corporation
    Inventors: Susumu Fukuda, Kenta Watanabe, Shunsuke Ishikawa, Takashi Fukuda
  • Patent number: 10740381
    Abstract: Embodiments are directed to a system, computer program product, and method for dynamic facet dictionary management. As one or more annotations are applied to a document collection, electronic text and associated facets are identified. Additional facets and facet values are identified and selectively applied to a knowledge base. A dictionary comprised of facets and associated facet values is constructed from the selective application. Application of the dictionary to the knowledge base identifies and returns a targeted document collection. Accordingly, facet mining and dictionary construction are dynamically applied to the knowledge base.
    Type: Grant
    Filed: July 18, 2018
    Date of Patent: August 11, 2020
    Assignee: International Business Machines Corporation
    Inventors: Susumu Fukuda, Kenta Watanabe, Shunsuke Ishikawa, Takashi Fukuda