AUDIO ANALYSIS SYSTEM, ELECTRONIC MUSICAL INSTRUMENT, AND AUDIO ANALYSIS METHOD

    公开(公告)号:US20230368760A1

    公开(公告)日:2023-11-16

    申请号:US18360937

    申请日:2023-07-28

    CPC classification number: G10H1/40 G10H2250/311 G10H2210/056

    Abstract: An audio analysis system includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: receive an instruction indicative of a target timbre; acquire a first audio signal containing a plurality of audio components corresponding to different timbres; and select at least one reference signal from among a plurality of reference signals respectively representative of different pieces of audio based on the target timbre and the first audio signal, in which: the at least one reference signal has an intensity with a temporal change, the temporal change in the intensity of the at least one reference signal is represented by a reference rhythm pattern, the plurality of audio components include audio components corresponding to the target timbre, the audio components corresponding to the target timbre have an intensity with a temporal change, the temporal change in the intensity of the audio components corresponding to the target timbre is represented by an analysis rhythm pattern, and the reference rhythm pattern is similar to the analysis rhythm pattern.

    INFORMATION PROCESSING SYSTEM, ELECTRONIC MUSICAL INSTRUMENT, AND INFORMATION PROCESSING METHOD

    公开(公告)号:US20230351989A1

    公开(公告)日:2023-11-02

    申请号:US18349417

    申请日:2023-07-10

    CPC classification number: G10H1/0008 G10H1/36 G10H2250/005

    Abstract: An information processing system includes at least one memory configured to store instructions and at least one processor configured to implement the instructions to acquire first audio data indicative of audio of a target piece of music, and cause a trained model to output first timbre data indicative of a timbre appropriate for the target piece of music by inputting input data into the trained model, the input data including the first audio data, in which the trained model is trained to learn a relationship between second audio data indicative of audio and second timbre data indicative of a timbre for each reference piece of a plurality of reference pieces of music.

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