An automated music composition and generation system includes a graphical user interface (GUI) based system user interface for enabling system users to review and select one or more musical experience descriptors as well as time and/or space parameters; and an automated music composition and generation engine, operably connected to the GUI-based system user interface, for receiving, storing and processing the musical experience descriptors and time and/or space parameters, and composing and generating digital pieces of music, each containing a set of musical notes arranged and performed in the digital piece of composed music. A system network and methods are provided for designing and developing parameter mapping configurations (SMCs) used in the automated music composition and generation engine so as to enable the automated music composition and generation engine to automatically compose and generate music in response to musical experience descriptors and time and/or space parameters provided as input to the system.

An automated music composition and generation system having a system user interface operably connected to an automated music composition and generation engine, and supporting a method of scoring a selected media object with one or more pieces of digital music. The method uses the system user interface to select one or more musical experience descriptors and then apply the selected musical experience descriptors to the selected digital media object to indicate what, when and how particular musical events should occur in the one or more pieces of digital music to be automatically composed and generated by the automated music composition and generation engine. The generated piece of digital music is then used in musically scoring the selected digital media object.

An automated music composition and generation system having a system user interface operably connected to an automated music composition and generation engine, and supporting a method of composing a piece of digital music using musical experience descriptors as to indicate what, when and how particular musical events should occur in the piece of digital music to be automatically composed and generated. The method uses the system user interface to select one or more musical experience descriptors and applying the musical experience descriptors along a timeline representation of a piece of digital music to be automatically composed and generated by the automated music composition and generation engine.

An electronic musical instrument includes a display, a memory, and at least one processor. The memory is configured to store a plurality of song data items. Each of the plurality of song data items includes a plurality of event data items and the plurality of song data items does not include size information of each of the plurality of event data items. The at least one processor is configured to read at least one song data item from among the plurality of song data items, add an identifier to each of the plurality of event data items of the read at least one song data item, calculate size information for each of the plurality of event data items, associate the size information calculated for each of the plurality of event data items with the corresponding identifier, display a content of a first event data item, refer to the associated size information when the content of the first event data item is displayed on the display and a content of a second event data item is not displayed on the display, and display, in accordance with the associated size information referred to, the content of the second event data item on the display, instead of displaying the content of the first event data item.

A method for producing and streaming music generated from biofeedback. The method employs machine-readable language instructions that alter received signals from a wearable biofeedback device, generating musical tones to be played on a portable electronic device and/or shared with others. The varying musical tones that are produced by the method can be modulated by the user to reach a targeted state of emotion.

A step sequencer with a four by sixteen grid of buttons is disclosed. The sequencer is used to generate patterns of sounds on different channels. The sequencer can be used as a hardware controller to control music production software. The grid of the sequencer emulates the virtual grid generated in a graphical user interface by the music production software. The grid of the hardware controller is used to control the corresponding grid on the graphical user interface.

Systems, devices, and methods for encoding digital representations of musical compositions are described. Various components of a musical composition that are defined in modern music theory, such as notes and bars, are encoded as respective hierarchically-dependent data objects in a data file. The hierarchically-dependent data objects encode the musical composition in a tree-like data structure with modular nodes and adjustable relationships between nodes. Note start times and beat start times are encoded independently of one another and characterized by a timing relationship that captures the expressiveness imbued when notes and beats are not precisely synchronized. Musical variations that preserve the timing relationship between the notes and beats of the original composition are also generated and encoded.

According to an embodiment, there is provided a system and method for automatic AI-based song construction based on ideas of a user. It provides and benefits from a combination of expert knowledge resident in an expert engine which contains rules for a musically correct song generation and machine learning in an AI-based audio loop selection engine for the selection of fitting audio loops from a database of audio loops.

System, process and device configurations are provided for customized audio spectrum generation of gaming music. A method includes detecting at least one audio spectrum input for gaming music and updating a parameter for dynamic music generation based on the at least one audio spectrum input. The method also includes generating gaming music for the gaming system dynamically to include at least one musical motif determined based on the parameter, and output of gaming music. Frequency or tonalities of dynamic generated music that interfere with gameplay sound effects may be adjusted to improve gameplay. In some cases volume of sound elements may be shifted in volume or pitch to indicate presence of gaming elements or opportunities during gameplay. Similarly, frequency ranges may be customized to avoid one or more frequencies, such as a frequency range identified as being associated with hearing loss or with causing a disturbance, such as vibration.

A method of operating a UI for controlling a virtual musical instrument implemented can include receiving an input corresponding to a selection of a cell within a particular array of cells arranged in a sequential arrangement within a cell matrix, each array of the cell matrix assigned to MIDI notes associated with audio sample data stored in a computer-readable medium that, when triggered, causes the audio sample data to output corresponding audio, and each cell within its particular array of the cell matrix, in response to being selected for playback and upon being triggered to begin playback, causes the audio sample data corresponding to the cell's particular array to be played. The method further includes determining that the input's duration is above a threshold time and expanding a size of an array containing the selected cell and adjusting the adjustable parameter of the selected cell based on the input.