SPEECH RECOGNITION DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20250014576A1

    公开(公告)日:2025-01-09

    申请号:US18709812

    申请日:2021-11-30

    Abstract: This speech recognition device comprises: a speech acceptance unit for accepting speech information representing one command among a plurality of commands; a speech recognition unit for performing speech recognition of the one command on the basis of the speech information accepted by the speech acceptance unit and for computing a reliability score for the recognition result of the one command; a condition storage unit for storing a plurality of conditions used in determining whether to execute a verification process for a recognition result, in association with a plurality of respective commands; a determination unit for determining whether to execute a verification process on the basis of one condition among a plurality of conditions stored in the condition storage unit and the reliability score computed by the speech recognition unit; and an output unit for outputting the recognition result without executing the verification process in a case where the determination unit determined to not execute the verification process.

    INFORMATION PROCESSING DEVICE, COMPUTER-EXECUTABLE METHOD, AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20230267592A1

    公开(公告)日:2023-08-24

    申请号:US18040151

    申请日:2021-08-12

    CPC classification number: G06T7/0004 G06T2207/10048 G06T2207/30164

    Abstract: This information processing device acquires time series quantitative data associated with an industrial machine and divides the quantitative data into sections (i.e., sections associated with an event of interest for data analysis) determined on the basis of a context. Moreover, a coordinate of a first axis indicative of a time within the divided sections and a coordinate of a second axis indicative of a division order of the sections in a display screen are calculated. Then, at the coordinate of the first axis and the coordinate of the second axis in the display screen, a point visually representing the quantity of the quantitative data is plotted.

    INSPECTION DEVICE AND MACHINE LEARNING METHOD

    公开(公告)号:US20200082225A1

    公开(公告)日:2020-03-12

    申请号:US16566884

    申请日:2019-09-11

    Abstract: Disclosed is an inspection device including: a machine learning device that performs machine learning on the basis of state data acquired from an inspection target and label data indicating an inspection result related to the inspection target to generate a learning model; a learning model evaluation index calculation unit that calculates a learning model evaluation index related to the learning model generated by the machine learning device as an evaluation index used to evaluate the learning model; an inspection index acquisition unit that acquires an inspection index used in an inspection; and an index value determination unit that determines whether the learning model generated by the machine learning device satisfies the inspection index on the basis of the learning model evaluation index and the inspection index and outputs a result of the determination.

    SORTING SYSTEM
    4.
    发明申请
    SORTING SYSTEM 审中-公开

    公开(公告)号:US20190118226A1

    公开(公告)日:2019-04-25

    申请号:US16161074

    申请日:2018-10-16

    Abstract: A sorting system determines the aptitude of the result of learning obtained by learning sorting data indicative of the result of sorting of an object to be sorted corresponding to measurement data on a state of the object to be sorted. If the aptitude is compatible with a previously specified criterion, the operation of the system is switched so as to perform automatic sorting of the object to be sorted. If the aptitude is not compatible with the previously specified criterion, the operation of the system is switched so as not to perform the automatic sorting of the object to be sorted.

    INSPECTION APPARATUS AND MACHINE LEARNING METHOD

    公开(公告)号:US20200082297A1

    公开(公告)日:2020-03-12

    申请号:US16566881

    申请日:2019-09-11

    Abstract: An inspection apparatus of the present disclosure includes: a machine learning device that performs machine learning on a basis of state data acquired from an inspection target and label data indicating an inspection result related to the inspection target to generate a learning model; a learning model evaluation index calculation unit that calculates a learning model evaluation index related to the learning model generated by the machine learning device as an evaluation index to be used to evaluate the learning model; an inspection index acquisition unit that acquires an inspection index to be used in the inspection; and a learning model selection unit that displays the learning model evaluation index and the inspection index so as to be comparable with each other regarding the learning model generated by the machine learning device, receives selection of the learning model by an operator, and outputs a result of the selection.

    VERIFICATION DEVICE
    6.
    发明申请
    VERIFICATION DEVICE 审中-公开

    公开(公告)号:US20200082281A1

    公开(公告)日:2020-03-12

    申请号:US16546301

    申请日:2019-08-21

    Abstract: A verification device for verifying validity of stored learning data generates a learning model by learning based on the learning data, performs inference using the learning model based on the learning data, further, analyzes the learning data using a result of reference in accordance with an analysis scheme for analyzing the learning data and an analysis specification defining a criterion in analysis, and processes the learning data in accordance with a result of the analysis.

    MACHINE LEARNING DEVICE, ROBOT SYSTEM, AND MACHINE LEARNING METHOD

    公开(公告)号:US20190077015A1

    公开(公告)日:2019-03-14

    申请号:US16117518

    申请日:2018-08-30

    Abstract: A hand for transferring a transfer target can be selected even when the combination of the transfer target and the hand is not taught. A machine learning device includes: state observation means for acquiring at least a portion of image data obtained by imaging a transfer target as input data; label acquisition means for acquiring information related to grasping means attached to a robot for transferring the transfer target as a label; and learning means for performing supervised learning using a set of the input data acquired by the state observation means and the label acquired by the label acquisition means as teacher data to construct a learning model that outputs information related to the grasping means appropriate for the transferring.

    VOICE RECOGNITION DEVICE AND COMPUTER-READABLE RECORDING MEDIUM

    公开(公告)号:US20250124917A1

    公开(公告)日:2025-04-17

    申请号:US18833395

    申请日:2022-02-08

    Abstract: A voice recognition device according to the present disclosure performs voice recognition on a voice signal inputted on manufacturing premises and uses the result as a voice command, the voice recognition device comprising: an adjustment waveform group generation unit for performing a plurality of different adjustments on a prescribed attribute of an inputted voice signal and generating a plurality of adjusted voice signals corresponding to the same; and a voice recognition unit for performing voice recognition on the plurality of adjusted voice signals and the voice signal outputted by the adjustment waveform group generation unit. The adjustment performed by the adjustment waveform group generation unit includes, as an attribute to be adjusted, the speech speed.

    SPEECH RECOGNITION DEVICE
    9.
    发明公开

    公开(公告)号:US20240282310A1

    公开(公告)日:2024-08-22

    申请号:US18567772

    申请日:2021-06-22

    CPC classification number: G10L15/32 G10L17/00

    Abstract: This speech recognition device is provided with: an acceptance unit that accepts input of speech information; a parameter storage unit that stores a plurality of parameters for setting a speech recognition model; a temporary setting parameter selection unit that selects, on the basis of narrowing information, a temporary setting parameter to be temporarily set, from the plurality of parameters; a recognition unit that recognizes speech information on the basis of the selected temporary setting parameter; and a parameter selection unit that selects, on the basis of information indicating a recognition result of the recognized speech information, one of the temporary setting parameters.

    TOOL DIAGNOSTIC DEVICE AND TOOL DIAGNOSTIC METHOD

    公开(公告)号:US20230305520A1

    公开(公告)日:2023-09-28

    申请号:US18002851

    申请日:2021-06-21

    CPC classification number: G05B19/4065 G05B2219/37252 G05B2219/37514

    Abstract: A tool diagnostic device includes a data acquisition unit configured to acquire time-series data related to a deterioration state of a drilling tool when a hole is machined, a diagnostic section extraction unit configured to extract diagnostic section time-series data acquired when machining is performed in a diagnostic section from a middle position to a machining end position of the hole from the time-series data acquired by the data acquisition unit, and a deterioration diagnostic unit configured to diagnose deterioration of the drilling tool using the diagnostic section time-series data extracted by the diagnostic section extraction unit.

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