An information processing device 11 including: a control data generation unit that inputs analysis data X that is to be processed, to a trained model that has learnt a relationship between analysis data X that represents a time series of musical notes, and control data Y for controlling movements of an object that represents a performer, thereby generating control data Y according to the analysis data X.

An information processing device 11 including: a control data generation unit that inputs analysis data X that is to be processed, to a trained model that has learnt a relationship between analysis data X that represents a time series of musical notes, and control data Y for controlling movements of an object that represents a performer, thereby generating control data Y according to the analysis data X.

An electronic-drum module for connection to one or more electronic-drum pads is provided. The module includes an electronic display; a first memory storing audio files for playback when the playback is triggered by a signal received from a pad; and one or more processors coupled to the display and the memory. The processors are configured receive an instruction to transfer a set of samples. The set of samples is associated with a priority-instruction and includes a first subset of samples and a second subset of samples. The processors are also configures to transfer the first subset of samples from a second memory to the first memory based on the priority-instruction before transferring the second subset of samples and to transfer the second subset of samples from the second memory to the first memory.

A sound control device includes: a reception unit that receives a start instruction indicating a start of output of a sound; a reading unit that reads a control parameter that determines an output mode of the sound, in response to the start instruction being received; and a control unit that causes the sound to be output in a mode according to the read control parameter.

A sound control device includes: a reception unit that receives a start instruction indicating a start of output of a sound; a reading unit that reads a control parameter that determines an output mode of the sound, in response to the start instruction being received; and a control unit that causes the sound to be output in a mode according to the read control parameter.

A method generates a sound signal in accordance with score data representative of respective durations of a plurality of notes and a shortening indication to shorten a duration of a specific note. The method includes generating a shortening rate, generating a series of control data, and generating a sound signal. The shortening rate is representative of an amount of shortening of the duration of the specific note, and is generated, by inputting, to a first estimation model, condition data representative of a sounding condition specified by score data for the specific note. Each of the series of control data is representative of a control condition of the sound signal corresponding to the score data, and the series of control data reflects a shortened duration of the specific note shortened in accordance with the generated shortening rate. The sound signal is generated in accordance with the series of control data.

Techniques have been developed to facilitate (1) the capture and pitch correction of vocal performances on handheld or other portable computing devices and (2) the mixing of such pitch-corrected vocal performances with backing tracks for audible rendering on targets that include such portable computing devices and as well as desktops, workstations, gaming stations, even telephony targets. Implementations of the described techniques employ signal processing techniques and allocations of system functionality that are suitable given the generally limited capabilities of such handheld or portable computing devices and that facilitate efficient encoding and communication of the pitch-corrected vocal performances (or precursors or derivatives thereof) via wireless and/or wired bandwidth-limited networks for rendering on portable computing devices or other targets.

According to an embodiment, there is provided a system and method for the generation of alternative versions of audio material in DAW projects, wherein the alternative versions feature differing energy and dynamics levels in terms of their musical content.

Disclosed is a learning model generation method executed by a computer, including: striking a percussion instrument with a striking member to emit a musical sound; and conducting machine learning upon receiving an input of the musical sound emitted from the percussion instrument, and generating, based on the machine learning, a learning model for outputting numerical values for setting musical performance parameters for an automatic musical performance of the percussion instrument that is struck when the striking member is driven.

The present invention relates to a calculation formula of Pythagorean tuning. It specifically comprises: inputting the initial frequency of the musical tuning, the number of downward tone and the number of upward tone through an input module, then calculating a corresponding frequency value by utilizing a calculation module, and outputting the corresponding frequency value through an output module. Compared with the traditional calculation method, the present invention has the advantages that: the present invention inputs the initial frequency of the musical tuning, the number of downward tone and the number of upward tone utilizing an input module, and calculates the corresponding frequency value by utilizing a calculation module, and outputs the corresponding frequency value through an output module, especially the obtained tone sequence can be played by various musical instruments through the sound output unit in the output module, which is convenient for music practitioners to use.