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.

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 support maintenance of musical form. Independent aspects of the disclosure further ensure that, within the composition work, such as a media product or a real-time audio stream, chord spacing determination and control are practiced to maintain musical sense in the new composition. Further, a structuring of primitive heuristics operates to maintain pitch and permit key transformation. The system and its functionality provides signal analysis and music generation through allowing emotional connotations to be specified and reproduced from cross-referenced Form-Atoms.

Provided is an automatic music playing control device that provides an instruction of playing music, the control device implementing natural music playing capable of expressing the timing and voicing in live music playing of a musical instrument by a player. The automatic music playing control device includes at least one processor, and the at least one processor selects a voicing pattern corresponding to a combination of the probabilistically-selected number of sounds to be emitted and a decided voicing type corresponding to a range from among a plurality of voicing patterns based on a scale decided according to the tune and chords of a music piece and instructs a sound source to emit a chord voiced based on the selected voicing pattern.

Provided is an automatic music playing control device that automatically plays chords to achieve a good music playing. The automatic music playing control device has at least one processor, wherein the at least one processor probabilistically selects any one of a plurality of timing types that defines the number of sound emissions, probabilistically selects any one of a plurality of note timing tables that defines sound emission timings, corresponding to the selected timing type, and instructs a sound source to emit a chord at a sound emission timing based on the selected note timing table.

A recommendation of at least one of multiple audio samples or sets of audio samples to combine with a particular audio sample or set of audio samples is automatically generated. The recommendation is generated by determining the rhythmic compatibility as well as the harmonic compatibility of the particular audio sample or set of samples with each of the multiple audio samples or sets of audio samples. For each of the multiple audio samples or sets of audio samples, a compatibility rating is generated based on the rhythmic compatibility and the harmonic compatibility of the audio sample or set of audio samples with the particular audio sample or set of audio samples. At least one of the multiple audio samples or sets of audio samples is presented by a computing device as a recommendation to combine with the particular audio sample or set of audio samples.

A method for electronic music generation comprising electronically applying one or more functions that change one or more compositional elements of a musical input in a first tonality or other musical representation to generate a musical output in a second tonality or other musical representation and recording data corresponding to the musical output in a recording medium or rendering such musical Transformations to a reproductive medium such as an amplifier and speakers or headphones.

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 Form Atom defined by self-contained constructional properties representing a historical corpus of music and contained within metadata of the Form Atom is disclosed. The Form Atom has a generative set of heuristics to support generation of a set of chords in a chord scheme or many different sets of chords. The generated chords are spaced out within a defined window of musical time by chord spacer heuristics. The Form Atom has a tag describing its compositional heuristics. A chord list of the Form Atom is provided in local tonic and defines branching structures that may be used for the generation of different chords from the local tonic. A progression descriptor is combined with a form function such that the Form Atom expresses musically a question, an answer and a statement. A meta-map of a chord scheme for a musical section is created from the metadata.

A processor-based method of producing a generative musical composition is disclosed herein. The method includes the step of receiving a briefing narrative which describes a musical journey by referencing a plurality of emotional descriptions related to a plurality of musical sections. The generative musical composition is assembled with regard to the briefing narrative through the selection and concatenation of Form Atoms with tags that align with the emotional descriptions related to the musical sections. The Form Atoms, which have compositional nature aligned with the emotional descriptions and self-contained constructional properties representative of the historical corpus of music, are then selected and substituted into the generative composition. The method further involves the step of generating the musical composition by mapping musical transition between selectively chosen Form Atoms to reflect pre-established transitions between Form Atoms and groups Form Atoms that have been identified to have similar tags but different constructional properties.