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.

The present invention is a computer-implemented method comprising: receiving, by one or more processors, data from an electroencephalogram device worn by a user, wherein data is collected related to at least one brainwave; separating the collected data into individual data streams related to the one or more brainwaves; performing at least one manipulation to each of the individual data streams, wherein each of the data streams are manipulated to produce a sound applying at least one filter to each of the sounds; and generating each of the sounds, wherein a musical composition is formed.

Embodiments described herein relate to techniques of coordinating sensory event timelines of multiple devices. The devices may use the sensory even timelines to output sensory events such as audio segments. The devices may take turns determining the sensory events to be output by the devices using their sensory event timelines. The techniques coordinate transitions of the devices between a first mode in which a device is allowed to determine sensory events to be output and a second mode in which a device outputs sensory events determined by another device.

A method of generating music contents from input music contents that includes development of models of music composition generation on the basis of business rules and composition rules. In parallel, sounds are prepared, which may be saved in the sound repository. Then, models in the form of source code are sent to a melody generator. Firstly, the generator is set with specific parameters using a controller conforming to MIDI standards and supplemented with composition characteristics read from the user preference database. Next, the contents are sent to automatic generation based on artificial intelligence algorithms and the digital score of the composition with the desired characteristics is generated. Sound tracks of individual instruments are rendered and the rendered tracks are mixed into the final music record. Next, the composition and its record are verified by the critic module using algorithms based on neural networks.

A computer implemented method is provided for generating a prediction of a next musical note by a computer having at least a processor and a memory. A computer processor system is also provided for generating a prediction of a next musical note. The method includes storing sequential musical notes in the memory. The method further includes generating, by the processor, the prediction of the next musical note based upon a music model and the sequential musical notes stored in the memory. The method also includes updating, by the processor, the music model based upon the prediction of the next musical note and an actual one of the next musical note. The method additionally includes resetting, by the processor, the memory at fixed time intervals.

An adaptive music playback system is disclosed. The system includes a composition system that receives information corresponding to user activity levels. The composition system determines target musical criteria corresponding to the user activity levels and modifies the composition of a song in response to changes in user activity.

A motion feedback device includes a housing, a speaker and a control module carried by said housing. The control module includes a controller and a motion sensor. The controller is configured to include a mapping adapted for the creation of sound in response to any user-produced movement of the housing as detected by the motion sensor. This allows for continuous original sound generation or composition based upon the user produced movements of the housing.

The present disclosure provides a generation device having a plurality of operators that receive a user operation that causes generation of a sound. The generation device includes: at least one first operator arranged in a first region and configured to receive a first user operation that causes generation of a rhythm sound signal; at least one second operator arranged in a second region and configured to receive a second user operation that causes generation of a melody sound signal; and at least one third operator arranged in a third region and configured to receive a third user operation that causes a sound effect to be applied to a synthesized sound signal of the generated rhythm sound signal and the generated melody sound signal. The first region, the second region, and the third region are different regions of the generation device from each other.

A method for performing a piece of music comprising the steps of: receiving (310) an input signal from a musical instrument (220), the inputs signal encoding the notes played on the instrument (220), matching (320) a note or combination of notes in the input signal to a respective trigger in a predefined set of triggers stored in a memory (130), each trigger being associated with a respective fragment of music that makes up a part of the piece of music, each fragment having a predefined length and starting from a predefined position relative to the start of a bar, and at least one of the fragments being more complex than the associated trigger, wherein when a note or combination of notes that matches a trigger is played by the user the method outputs (330) at least part of the matched fragment that starts at the time that the note or combination of notes is played.

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.