A device is provided as part of a system, the device being for capturing vibrations produced by an object such as a musical instrument. Via a fixation element, the device is fixed to a drum. The device has a sensor spaced apart from a surface of the drum, located relative to the drum, and a magnet adjacent the sensor. The fixation element transmits vibrations from its fixation point on the drum to the magnet. Vibrations from the surface of the drum and from the magnet are transmitted to the sensor. A method may further be provided for interpreting an audio input, such as the output of the sensors within the system, the method comprising identifying an audio event or grouping of audio events within audio data, generating a model of the audio event that includes a representation of a timbre characteristic, and comparing that representation to expected representations.

As part of a system, a device is provided as part of a system, the device being for capturing vibrations produced by an object such as a musical instrument. The device has a first sensor placed in contact with a surface of the drum, such as a rim of the drum, and a second sensor placed at a fixed location relative to the drum, but not touching the drum. A method may be provided for interpreting the output of the sensors within the system, the method comprising identifying the onset of an audio event in audio data, selecting a window in the data for analysis, applying transforms to generate a representation of the audio event, and comparing that representation to expected representations in a model.

The present disclosure provides a method and a system for realizing intelligent matching and adding of rhythmic tracks. In one example, a method is provided, including: pre-storing a plurality of music elements; generating a rhythmic track library according to the plurality of music elements, the rhythmic track library including a plurality of rhythmic tracks based on the plurality of music elements; detecting a BPM of original music, and calculating a time interval between every two beats based on the detected BPM of the original music; selecting one or more rhythmic tracks from the rhythmic track library, and assigning a time parameter to the one or more rhythmic tracks based on the time interval so as to match the rhythm of the original music; and adding the one or more rhythmic tracks assigned with the time parameter into the original music so as to combine with the original music and play.

A system may receive a request to transform predetermined music content using generative artificial intelligence, wherein the predetermined music content is protected by a copyright and is digitally controlled by a cloud-based authorization server. A system may receive a user request to create a derivative work using the generative artificial intelligence, wherein the request includes a prompt from the user to cause the generative artificial intelligence to create the derivative work as a function of the predetermined music content and a user specific theme for the derivative work. A system may model an owner of the copyright with an AI model and approve creation of the derivative work in response to the modeling predicting that the owner would approve the request. A system may create the derivative work using the generative artificial intelligence and may mark the work with a digital watermark for tracking use of the derivative work.

A system may receive a request to transform predetermined music content using generative artificial intelligence, wherein the predetermined music content is protected by a copyright and is digitally controlled by a cloud-based authorization server. A system may receive a user request to create a derivative work using the generative artificial intelligence, wherein the request includes a prompt from the user to cause the generative artificial intelligence to create the derivative work as a function of the predetermined music content and a user specific theme for the derivative work. A system may model an owner of the copyright with an AI model and approve creation of the derivative work in response to the modeling predicting that the owner would approve the request. A system may create the derivative work using the generative artificial intelligence and may mark the work with a digital watermark for tracking use of the derivative work.