SIGNAL PROCESSING DEVICE, SIGNAL PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20230296409A1

    公开(公告)日:2023-09-21

    申请号:US18021245

    申请日:2020-09-29

    CPC classification number: G01D1/18

    Abstract: A signal processing device according to an aspect of the present disclosure comprises: cutout means that cuts out a target signal in a predetermined section, and an overlap signal in a section not matching the predetermined section but overlapping with at least part of the predetermined section from an input signal; conversion means that converts the target signal and the overlap signal into a phase component signal in a frequency domain with respect to each frequency; gradient calculation means that, based on the phase component signal, calculates, at each frequency, a phase gradient that is the gradient of the phase component at the frequency; score calculation means that calculates a score relating to the sudden change characteristic of the input signal according to the phase gradients; and determination means that, based on the score, determines the presence or absence of a sudden change in the target signal.

    SIGNAL PROCESSING DEVICE, SIGNAL PROCESSING METHOD, AND COMPUTERREADABLE STORAGE MEDIUM

    公开(公告)号:US20240201049A1

    公开(公告)日:2024-06-20

    申请号:US18288104

    申请日:2021-05-07

    CPC classification number: G01M99/005

    Abstract: A signal processing device according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: convert an input signal into a predetermined signal in a time-frequency domain; estimate a peak of a time-frequency intensity of the predetermined signal as an intensity of a target signal; estimate a band including at least a bandwidth from a frequency related to a peak to a predetermined frequency and does not include a frequency related to a peak different from the peak, as a noise band that is a frequency band of a noise signal; estimate an intensity of the noise signal based on a time-frequency intensity in the noise band; and determine whether an event has occurred based on a ratio between the intensity of the target signal to the intensity of the noise signal.

    LEARNING DEVICE AND PATTERN RECOGNITION DEVICE

    公开(公告)号:US20220028372A1

    公开(公告)日:2022-01-27

    申请号:US17276192

    申请日:2018-09-20

    Abstract: The acoustic feature extraction means 82 extracts an acoustic feature, using predetermined parameters, from an acoustic pattern obtained as a result of processing on an acoustic signal. The language vector calculation means 83 calculates a language vector from a given label that represents an attribute of a source of the acoustic signal and that is associated with the acoustic pattern. The similarity calculation means 84 calculates a similarity between the acoustic feature and the language vector. The parameter update means 85 learns parameters so that the similarity becomes larger, and updates the predetermined parameters to the parameters obtained by learning.

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