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公开(公告)号：US20250168445A1
公开(公告)日：2025-05-22
申请号：US18839503
申请日：2023-03-16
Inventor： Xiaolin WANG , Masao UCHIYAMA , Eiichiro SUMITA
IPC: H04N21/439 , G10L15/04 , G10L25/57
Abstract: Provided is a simultaneous interpretation system that performs machine translation processing and speaker identification processing in real time. In the simultaneous interpretation system, the segment processing unit of the simultaneous interpretation device performs high-speed and highly accurate segment processing to obtain sentence data and also obtains a time range in which a word sequence included in the sentence data was uttered, thus, allowing for performing machine translation processing and speaker identification processing in real time. In other words, in the simultaneous interpretation system, the machine translation processing unit performs machine translation processing on sentence data obtained through high-speed and highly accurate segment processing, and performs, in parallel, processing for predicting a speaker who spoke during the period specified by the time range data based on the inputted video stream and the time range data, thus allowing for performing machine translation processing and speaker identification processing in real time.
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公开(公告)号：US20250163606A1
公开(公告)日：2025-05-22
申请号：US18840392
申请日：2023-02-23
Applicant: Mach Corporation Co., Ltd. , National University Corporation Tokyo University of Agriculture and Technology , National Institute of Information and Communications Technology , The University of Electro-Communications
Inventor： Goubun AKATSUKA , Yoshiyuki SUDA , Nobumitsu HIROSE , Satoshi TAMANYU , Yosuke AOYAGI , Shota NOZAKI , Takahiro TSUKAMOTO , Kento IKENO , Hiroya ESAKI
IPC: C30B23/02 , C30B29/06 , C30B33/00 , H01L21/02 , H01L21/3205
Abstract: Since a high temperature process is required when adding impurities to a semiconductor crystal film by means of ion implantation or by means of thermal diffusion, it has been difficult to form a steep impurity profile. A production method for a single crystal semiconductor film by means of crystal growth using a magnetron sputtering device to which one or more group 14 semiconductor targets are attached, the method being characterized in that at least one of the targets is doped with impurities, the film-forming temperature is 300° C. or higher, the growth rate is 10 nm or less per minute, the sputtering gas is an inert gas, and the one or more targets are sputtered simultaneously.
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公开(公告)号：US12058246B2
公开(公告)日：2024-08-06
申请号：US17791648
申请日：2021-01-22
Inventor： Hiroyuki Endo , Masahide Sasaki
IPC: H04L9/08
CPC classification number: H04L9/085 , H04L9/0869
Abstract: A secret key sharing system includes a transceiver in a first layer, a plurality of transceivers in a second layer, and a plurality of transceivers in a third layer. The transceivers in the second layer receive a first random number from the transceiver in the first layer via a directional carrier wave. The transceivers in the third layer receive a second random number from one of the transceivers in the second layer via the carrier wave. The transceiver in the first layer and the transceivers in the second layer share a first secret key based on the first random number, and the one of the transceivers in the second layer and the plurality of transceivers in the third layer share a second secret key based on the second random number.
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公开(公告)号：US12057102B2
公开(公告)日：2024-08-06
申请号：US17593822
申请日：2020-03-12
Inventor： Peng Shen , Komei Sugiura , Hisashi Kawai
CPC classification number: G10L15/005 , G06N3/08 , G10L15/02 , G10L15/16 , G10L15/22
Abstract: A language identifying device includes: a neural network responsive to an input of a speech signal, for outputting a score for each of a plurality of languages indicating that the speech represented by the speech signal is the speech of the corresponding language; a selecting device for selecting, among the scores output by the neural network, scores of a smaller number of languages; a normalizing device for normalizing the scores selected by the selecting device; a determining device for determining whether the maximum of the normalized scores normalized by the normalizing device is equal to or higher than a threshold; and a language deciding device, responsive to a positive determination by the determining device, for selectively performing a process of deciding the language corresponding to the maximum of the scores as the language of the speech represented by the speech signal, or a process of discarding outputs of the score selecting device.
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公开(公告)号：US12050271B2
公开(公告)日：2024-07-30
申请号：US17278306
申请日：2019-06-03
Inventor： Keizo Inagaki , Toshimasa Umezawa , Naokatsu Yamamoto , Tetsuya Kawanishi
IPC: G01S17/89 , G01S7/48 , G01S17/894 , G02F1/295 , G01S7/481
CPC classification number: G01S17/894 , G01S7/4808 , G02F1/295 , G01S7/4818
Abstract: [Problem] To provide a camera with high sensitivity even if an output to the outside is weak. [Solution] This camera includes a light source 3, a demultiplexing unit 5 which demultiplexes light from the light source 3 into first demultiplexed light and second demultiplexed light, a first modulator 7 which modulates the first demultiplexed light to obtain a modulated signal, an emission unit 9 which emits the modulation signal modulated by the first modulator 7, and a phase imparting means 11 which imparts a plurality of types of phase shifts to the second demultiplexed light to obtain phase-imparted local light. The camera further includes a multiplexing unit 13 which multiplexes light incident from the outside of the camera and the phase-imparted local light and obtains multiplexed light, a light receiving element 17 which detects the multiplexed light, and includes a light receiving unit 15, and an analysis processing unit 19 which, on the basis of the multiplexed light received by the light receiving element 17, analyzes the position of a subject or the distance between the subject and the camera.
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Patent Agency Ranking
公开(公告)号：US20240195601A1
公开(公告)日：2024-06-13
申请号：US18553039
申请日：2022-02-25
Inventor： Yuichiro YANO , Tetsuya IDO , Motoaki HARA
CPC classification number: H04L7/033 , H03L7/0992
Abstract: A node includes: a communication module that recovers a clock signal of another node; a high-precision clock module; a first phase/frequency comparison module; a time estimation section that estimates time information of each node; a counter value correction section that corrects a counter value; a fractional PLL; a second phase/frequency comparison module; and a division ratio correction section that corrects a division ratio of the fractional PLL.
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7.发明公开公开(公告)号：US20240080184A1
公开(公告)日：2024-03-07
申请号：US18274288
申请日：2022-01-24
Applicant: NEC Corporation , National Institute of Information and Communications Technology , NATIONAL UNIVERSTIY CORPORATION HOKKAIDO UNIVERSTIY , The University of Tokyo
Inventor： Ken-ichiro YOSHINO , Mikio FUJIWARA , Akihisa TOMITA , Masato KOASHI , Masahiro TAKEOKA , Masahide SASAKI
CPC classification number: H04L9/0852 , H04L9/005
Abstract: An object is to prevent eavesdropping in quantum key distribution. A photon detector outputs an output current indicating a result of detecting a quantum signal. A current-voltage conversion unit converts the output current into an output voltage signal. An analog-to-digital converter outputs an output voltage signal obtained by analog-digital conversion of the output voltage signal. A signal processing unit performs predetermined signal processing on the output voltage signal, and outputs a photon detection signal indicating a result of detecting the quantum signal. When a time difference between a timing at which the quantum signal is incident into the photon detector and a reference timing determined based on a clock signal is not within a determination range, the photon detection signal is not output from the signal processing unit.
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公开(公告)号：US11861307B2
公开(公告)日：2024-01-02
申请号：US17043069
申请日：2019-03-05
Inventor： Yoshihiko Asao , Ryu Iida , Canasai Kruengkrai , Noriyuki Abe , Kanako Onishi , Kentaro Torisawa , Yutaka Kidawara
IPC: G06F40/30 , G06F40/268 , G06N3/08 , G06F40/58 , G06N3/04
CPC classification number: G06F40/268 , G06F40/58 , G06N3/04 , G06N3/08
Abstract: A request paraphrasing system 120 allowing a dialogue system to flexibly address to requests in various different manners of expression includes: a pre-processing unit 130 converting a user input 56 to a word vector sequence; and a neural paraphrasing model 94 trained in advance by machine learning to receive the word vector sequence as an input and paraphrasing a request represented by the word vector sequence to a request having a higher probability of obtaining an answer from a question-answering device 122 than the request before paraphrasing. As pre-processing, whether the user input 56 is a request or not may be determined and it may be paraphrased only when it is determined to be a request. Further, a classification model 98 may classify the input request to determine to which request class it belongs, and the classification may be input as one feature to neural paraphrasing model 94.
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公开(公告)号：US11816444B2
公开(公告)日：2023-11-14
申请号：US16969619
申请日：2019-02-12
Inventor： Kenji Imamura , Atsushi Fujita , Eiichiro Sumita
IPC: G06F40/58 , G06N3/08 , G06N3/084 , G06F18/211
CPC classification number: G06F40/58 , G06F18/211 , G06N3/084
Abstract: Provided are a model training method for neural machine translation that enhances an encoder using a monolingual corpus of a target language and improves the accuracy of the entire translator, and a machine translation system for performing the model training method. The machine translation system 1000 uses a monolingual corpus of the target language to obtain multiple pieces of pseudo source language data, thus allowing for obtaining a large amount of pseudo parallel corpus data having diversity. Further, the machine translation system 1000 uses both the pseudo parallel corpus data having diversity, which has been obtained in large quantities, and the base parallel corpus data in a small quantity but with high accuracy, with the applied learning rates changed accordingly, to perform the learning process (training process) for the machine translation model. This allows the machine translation system 1000 to obtain a learned model (machine translation model) with very high accuracy.
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公开(公告)号：US20230359147A1
公开(公告)日：2023-11-09
申请号：US18044477
申请日：2021-09-09
Inventor： Tatsuki TAHARA
IPC: G03H1/26
CPC classification number: G03H1/2645 , G03H2001/2655 , G03H2222/31 , G03H2226/11 , G03H2225/32 , G03H2225/13
Abstract: An image reproduction device reproduces an image including N different parameters of a wavelength range or the like, and includes: a multiple hologram acquisition part that acquires N to 2N multiple holograms obtained by multiplex-recording interference patterns for each parameter; a parameter selection part that selects the parameters one by one; a hologram generation part that generates a computer generated hologram containing two lightwaves having the selected parameter, from the multiple hologram; and a lightwave restoration part that restores one of the two lightwaves from the computer generated hologram.
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