Musical catalog amplification services that leverage or deploy a computer-based musical composition system are described. The computer-based musical composition system employs algorithms and, optionally, artificial intelligence to generate new music based on analyses of existing music. The new music may be wholly distinctive from, or may include musical variations of, the existing music. Rights in the new music generated by the computer-based musical composition system are granted to the rights holder(s) of the existing music. In this way, the musical catalog(s) of the rights holder(s) is/are amplified to include additional music assets. The computer-based musical composition system may be tuned so that the new music sounds more like, or less like, the existing music of the rights holder(s). Revenues generated from the new music are shared between the musical catalog amplification service provider and the rights holder(s).

A reproduction control method, which is executed by a computer, includes determining, based on an image showing an object, whether a type of the object is a first type or a second type that is different from the first type, and reproducing a sound, triggered by a striking of an operation surface by the object, based on a result of the determining.

An information processing apparatus according to the present disclosure includes: a storage unit that stores a plurality of pieces of music feature information in which a plurality of types of feature amounts extracted from music information is associated with predetermined identification information, the music feature information being used as learning data in composition processing using machine learning; a reception unit that receives instruction information transmitted from a terminal apparatus; an extraction unit that extracts the music feature information from the storage unit according to the instruction information; and an output unit that outputs presentation information of the music feature information extracted by the extraction unit.

A musical instrument system includes a sound element medium including a plurality of sound-element information areas each having sound element information on a sound element, a reader configured to read the sound element information, a generator configured to generate musical sound information based on the read sound element information, and an audio unit configured to produce a sound based on the generated musical sound information, each of the sound-element information areas having a display corresponding to the sound element information, and the sound element information relating to both or one of pitch and tone.

An audio processing method, for each time step of a plurality of time steps on a time axis: acquires encoded data that reflects current musical features of a tune for a current time step and musical features of the tune for succeeding time steps succeeding the current time step; acquires control data according to a real-time instruction provided by a user; and generates acoustic feature data representative of acoustic features of a synthesis sound in accordance with first input data including the acquired encoded data and the acquired control data.

Musical catalog amplification services that leverage or deploy a computer-based musical composition system are described. The computer-based musical composition system employs algorithms and, optionally, artificial intelligence to generate new music based on analyses of existing music. The new music may be wholly distinctive from, or may include musical variations of, the existing music. Rights in the new music generated by the computer-based musical composition system are granted to the rights holder(s) of the existing music. In this way, the musical catalog(s) of the rights holder(s) is/are amplified to include additional music assets. The computer-based musical composition system may be tuned so that the new music sounds more like, or less like, the existing music of the rights holder(s). Revenues generated from the new music are shared between the musical catalog amplification service provider and the rights holder(s).

An apparatus for archiving music created on guitars including acoustic and electric, comprising an archiving device configured to record as well as archive any combination of riffs, songs, and leads comprises a PCB that comprises all the electrical connections along with a pair of batteries to power up the archiving device, wherein the PCB comprises a controller configured to detect music played on the said guitar and automatically record the music played upon a memory card inserted into the memory card slot; a disc-shaped user interface plate that sits beneath a knob of a potentiometer on the top surface of the said guitar, wherein the user interface plate has a plurality of buttons, a plurality of LEDs, a memory card slot, and a USB slot.

The present invention relates to an apparatus and method for identifying music in a content, The present invention includes extracting and storing a fingerprint of an original audio in an audio fingerprint DB; extracting a first fingerprint of a first audio in the content; and searching for a fingerprint corresponding to the fingerprint of the first audio in the audio fingerprint DB, wherein the first audio is audio data in a music section detected from the content.

A computer-implemented method of generating a musical composition containing a plurality of musical texture groups is disclosed. The method includes assembling musical texture groups from musical instrument components and associating therewith a tag expressing emotional textural connotation. The instrument components have musical textural classifiers selected from a set of pre-defined textural classifiers such that different instrument components may have a different subset of pre-defined textural classifiers. The textural classifiers within a texture group possess either no musical feature attribute or a single musical feature attribute and any number of musical accompaniment attributes. The method then generates at least one chord scheme to a narrative brief, to provide an emotional connotation to a series of events, the chord scheme generated by selecting and assembling Form Atoms. The final step includes applying a texture to the chord scheme to generate the musical composition reflecting the narrative brief.

A generative composition system reduces existing musical artefacts to constituent elements termed “Form Atoms”. These Form Atoms may each be of varying length and have musical properties and associations that link together through Markov chains. To provide myriad new composition, a set of heuristics ensures that musical textures between concatenated musical sections follow a supplied and defined briefing narrative for the new composition whilst contiguous concatenated Form Atoms are also automatically selected to see that similarities in respective and identified attributes of musical textures for those musical sections are maintained to maintain good musical form. Within the composition work, chord spacing and control are practiced to maintain musical sense in the new composition and a primitive heuristics structure maintains pitch and permits key transformation. The system provides signal analysis and music generation by allowing emotional connotations to be specified and reproduced from cross-referenced Form-Atoms.