PERFORMANCE ANALYSIS METHOD
    11.
    发明申请

    公开(公告)号:US20200160820A1

    公开(公告)日:2020-05-21

    申请号:US16751694

    申请日:2020-01-24

    Inventor: Akira MAEZAWA

    Abstract: A performance analysis method according to the present invention includes generating information related to a performance tendency of a user, from observed performance information relating to a performance of a musical piece by the user and inferred performance information that occurs when the musical piece is performed based on a specific tendency.

    CONTROL METHOD AND CONTROL DEVICE
    12.
    发明申请

    公开(公告)号:US20190172433A1

    公开(公告)日:2019-06-06

    申请号:US16252293

    申请日:2019-01-18

    Inventor: Akira MAEZAWA

    Abstract: A control method includes receiving a detection result relating to a first event in a performance; changing a following degree in a middle of the performance to which a second event in the performance follows the first event; and determining an operating mode of the second event based on the following degree.

    AUDIO PROCESSING METHOD AND AUDIO PROCESSING DEVICE

    公开(公告)号:US20190019525A1

    公开(公告)日:2019-01-17

    申请号:US16135818

    申请日:2018-09-19

    Inventor: Akira MAEZAWA

    Abstract: An audio processing device includes a feature extraction unit and signal generating unit. The feature extraction unit is configured to extract a feature quantity of a first audio signal for each of a plurality of periods. The signal generating unit is configured to for generate a second audio signal by time axis expanding/compressing either a section of the first audio signal in which the feature quantity is steadily maintained for a period time, or a section of the first audio signal in which a fluctuation of the feature quantity is repeated and excluding from the time axis expanding/compressing a section of the first audio signal in which a fluctuation of the feature quantity is not similar to that of other sections of the first audio signal.

    INFORMATION PROCESSING METHOD, INFORMATION PROCESSING SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

    公开(公告)号:US20240013756A1

    公开(公告)日:2024-01-11

    申请号:US18472432

    申请日:2023-09-22

    Inventor: Akira MAEZAWA

    CPC classification number: G10H1/0008 G10H1/34 G10H2220/455

    Abstract: An information processing method is implemented by a computer system. The information processing method includes: generating operation data representing one or more fingers, of a plurality of fingers of a left hand and a right hand of a user, that operate a musical instrument, by analyzing a performance image indicating the plurality of fingers of the user who plays the musical instrument; and executing first processing in a case where the operation data represents the musical instrument being operated with a finger of the left hand, and executing second processing different from the first processing in a case where the operation data represents the musical instrument being operated with a finger of the right hand.

    Parameter Inference Method, Parameter Inference System, and Parameter Inference Program

    公开(公告)号:US20230005458A1

    公开(公告)日:2023-01-05

    申请号:US17940539

    申请日:2022-09-08

    Abstract: A parameter inference method realized by a computer, includes obtaining target performance information indicating a performance of music using an electronic musical instrument; inferring assist information from the target performance information with use of a trained inference model generated through machine learning, the assist information being related to setting of a parameter of the electronic musical instrument that conforms to a tendency of the performance; and outputting the inferred assist information related to the setting of the parameter.

    PERFORMANCE ANALYSIS METHOD AND PERFORMANCE ANALYSIS DEVICE

    公开(公告)号:US20220238089A1

    公开(公告)日:2022-07-28

    申请号:US17720630

    申请日:2022-04-14

    Inventor: Akira MAEZAWA

    Abstract: A performance analysis method is realized by a computer and includes acquiring a time series of input data representing played pitch that is played, inputting the acquired time series of input data into an estimation model that has learned a relationship between a plurality of items of training input data representing pitch and a plurality of items of training output data representing an acoustic effect to be added to sound having the pitch, and generating a time series of output data for controlling an acoustic effect to be added to sound having the played pitch represented by the acquired time series of input data.

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