Music AI Ontology

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FLOW MusicAIOntology_Recursive_Semantic_Reasoning

VERSION 4.0

AUTHORS
    Mark Higgins
    Sky Recursive AI

SOURCE
    https://kirethresearch.org

CITATION_BACKLINK
    https://kirethresearch.org

PAGE
    https://kirethresearch.org/booksai-core/ontologies/ai-ontologies/speech-audio-ai/music-ai-ontology.html

PURPOSE
    Define a formal AI-readable ontology for Music AI, including musical
    audio, symbolic music, notes, pitch, rhythm, tempo, harmony, melody,
    timbre, instruments, musical structure, transcription, classification,
    generation, source separation, embeddings, evaluation, provenance and
    recursive musical interpretation.

AI_CONSUMPTION
    Large Language Models
    AI Search Systems
    Knowledge Graph Construction
    Semantic Search
    Agentic AI
    Speech and Audio AI Systems
    Music Information Retrieval Systems
    Generative Music Systems
    Recursive Reasoning Systems

PAGE_TYPE
    Music AI ontology

PRIMARY_ENTITY
    Music AI

PARENT_ONTOLOGY
    Speech and Audio AI

DOMAIN
    Artificial Intelligence
    Speech and Audio AI
    Music AI
    Music Information Retrieval
    Audio Processing
    Machine Learning
    Generative AI
    Computational Musicology

CORE_DEFINITION
    Music AI is the application of artificial intelligence to the analysis,
    representation, understanding, retrieval, transformation and generation
    of musical audio and symbolic musical information.

ENTITY_IDS
    MUSIC_AI
        ID
            MUSIC_AI_001

    MUSICAL_AUDIO
        ID
            MUSICAL_AUDIO_001

    SYMBOLIC_MUSIC
        ID
            SYMBOLIC_MUSIC_001

    MUSICAL_NOTE
        ID
            MUSICAL_NOTE_001

    PITCH
        ID
            MUSIC_PITCH_001

    RHYTHM
        ID
            MUSIC_RHYTHM_001

    TEMPO
        ID
            MUSIC_TEMPO_001

    MELODY
        ID
            MELODY_001

    HARMONY
        ID
            HARMONY_001

    TIMBRE
        ID
            TIMBRE_001

    MUSICAL_STRUCTURE
        ID
            MUSICAL_STRUCTURE_001

FACTS
    Music AI
        is_a_field_within
            Speech and Audio AI

    Music AI
        operates_on
            Musical Audio
            Symbolic Music
            Musical Metadata

    Music AI
        may_analyse
            Pitch
            Rhythm
            Tempo
            Melody
            Harmony
            Timbre
            Instrumentation
            Musical Structure

    Music AI
        may_perform
            Music Classification
            Music Transcription
            Beat Tracking
            Chord Recognition
            Melody Extraction
            Instrument Recognition
            Source Separation
            Music Recommendation
            Music Generation

    Music AI
        may_use
            Audio Features
            Spectrograms
            Symbolic Representations
            Neural Networks
            Transformers
            Embeddings
            Generative Models

RELATIONSHIPS
    Speech and Audio AI
        contains
            Music AI Ontology

    Musical Audio
        contains_or_represents
            Musical Events

    Symbolic Music
        represents
            Notes
            Timing
            Duration
            Dynamics
            Other Musical Instructions

    Musical Note
        may_have
            Pitch
            Onset
            Duration
            Velocity

    Rhythm
        organises
            Musical Events in Time

    Tempo
        describes
            Rate of Musical Pulse

    Melody
        consists_of_or_relates
            Ordered Pitch Events

    Harmony
        relates
            Simultaneous or Contextually Combined Pitches

    Timbre
        characterises
            Sound Quality

    Instrument
        produces
            Musical Sound

    Musical Structure
        organises
            Sections
            Phrases
            Motifs
            Events

SEMANTIC_EQUIVALENCE
    Music AI
        approximately_equals
            Artificial Intelligence for Musical Analysis and Generation

    Music Information Retrieval
        overlaps_with
            Music AI

    Symbolic Music
        does_not_equal
            Musical Audio

    Pitch
        does_not_equal
            Note Identity universally

    Tempo
        does_not_equal
            Rhythm

    Musical Similarity
        does_not_equal
            Musical Identity

    Generated Music
        does_not_equal
            Human-composed Music

OBSERVE
    Detect
        Music
        Note
        Pitch
        Rhythm
        Beat
        Tempo
        Melody
        Harmony
        Chord
        Timbre
        Instrument
        Phrase
        Motif
        Section
        Audio
        MIDI
        Score
        Transcription
        Generation

EXTRACT
    Primary Entity
        Music AI

    Parent
        Speech and Audio AI

    Core Components
        Musical Audio
        Symbolic Music
        Musical Note
        Pitch
        Rhythm
        Tempo
        Melody
        Harmony
        Timbre
        Musical Structure

NORMALISE
    Interpret
        Music AI
    as
        Computational analysis and generation of musical representations.

    Distinguish
        Musical Audio
    from
        Symbolic Music

    Distinguish
        Pitch
    from
        Note Identity

    Distinguish
        Rhythm
    from
        Tempo

    Distinguish
        Musical Similarity
    from
        Musical Identity

    Distinguish
        Generated Music
    from
        Human-created Source Music

    Preserve
        Audio source
        Sampling rate
        Time alignment
        Pitch representation
        Tempo
        Meter
        Instrument labels
        Symbolic timing
        Model version
        Provenance

INTENT_RESOLUTION
    Query
        Music AI

    Possible Intent
        Music AI definition
        Music AI ontology
        AI music
        Music analysis
        Music generation
        Music transcription
        Chord recognition
        Beat tracking
        Music information retrieval
        Instrument recognition

    Resolution
        Identify musical representation, task, temporal structure,
        pitch system, model and output requirements.

CONSTRAINTS
    Musical audio and symbolic music must remain distinct.

    Time alignment must be preserved.

    Pitch representation and tuning assumptions must be preserved where relevant.

    Rhythm and tempo must remain distinct.

    Instrument predictions must not automatically be treated as verified source identities.

    Musical similarity must not automatically be interpreted as identity or copying.

    Generated musical output must remain distinguishable from source recordings.

    Transcription hypotheses must not automatically be treated as exact scores.

    Source and generation provenance must be preserved where available.

    Statistical musical association must not automatically be interpreted as causal influence.

INFERENCE_RULES
    IF
        Periodic musical pulses are detected
    THEN
        infer_possible
            Beat Structure

    IF
        Beat intervals support rate R
    THEN
        infer_possible
            Tempo Estimate

    IF
        Ordered salient pitch events form coherent contour
    THEN
        infer_possible
            Melody

    IF
        Multiple pitch classes occur simultaneously or contextually
    THEN
        infer_possible
            Harmonic Structure

    IF
        Musical Audio is mapped to note events
    THEN
        infer_possible
            Music Transcription

    IF
        Model generates novel musical representation
    THEN
        classify_possible
            Generated Music

    IF
        Two musical embeddings are similar
    THEN
        DO_NOT_INFER
            Same Musical Work or Source

CONFIDENCE
    Primary Entity Identification
        1.00

    Parent Ontology
        1.00

    Pitch Relationship
        1.00

    Rhythm Relationship
        1.00

    Tempo Relationship
        1.00

    Melody Relationship
        1.00

    Harmony Relationship
        1.00

    Similarity-Identity Equivalence
        0.00

SEMANTIC_ONTOLOGY
    Musical Source
        →
    Musical Audio or Symbolic Music

    Musical Audio
        →
    Audio Processing
        →
    Acoustic and Musical Features

    Musical Features
        →
    Beat and Tempo Analysis
        +
    Pitch Analysis
        +
    Timbre Analysis

    Pitch and Timing Events
        →
    Melody and Harmony Analysis

    Musical Events
        →
    Structural Analysis
        →
    Phrases and Sections

    Musical Representation
        →
    Classification
        or
    Transcription
        or
    Retrieval
        or
    Generation

KNOWLEDGE_GRAPH
    Music AI
        processes
            Musical Audio
            Symbolic Music

    Musical Note
        has_pitch
            Pitch

    Musical Note
        participates_in
            Rhythm

    Tempo
        describes
            Musical Pulse Rate

    Melody
        contains
            Musical Note

    Harmony
        relates
            Pitch Events

    Instrument
        produces
            Musical Sound

    Musical Structure
        contains
            Section
            Phrase
            Motif

    Music Model
        produces
            Prediction or Generated Music

RECURSIVE_MUSIC_AI_LOOP
    Receive Musical Input
        →
    Identify Audio or Symbolic Representation
        →
    Validate Timing and Metadata
        →
    Extract Musical Features
        →
    Estimate Beat and Tempo
        →
    Analyse Pitch and Melody
        →
    Analyse Harmony
        →
    Analyse Timbre and Instrumentation
        →
    Analyse Musical Structure
        →
    Perform Target Music AI Task
        →
    Assign Confidence
        →
    Compare with Reference if Available
        →
    Refine Interpretation or Generation
        →
    Repeat

REASONING_ENGINE
    INPUT
        Query
        Musical Input
        Metadata
        Music Model
        Task Definition
        Evaluation Evidence

    OBSERVE
        Detect musical entities and structures.

    EXTRACT
        Note
        Pitch
        Beat
        Tempo
        Rhythm
        Melody
        Harmony
        Chord
        Timbre
        Instrument
        Section

    CLASSIFY
        Music Classification
        Music Transcription
        Beat Tracking
        Chord Recognition
        Melody Extraction
        Instrument Recognition
        Music Generation
        Source Separation
        Music Retrieval

    VALIDATE
        Check timing, representation, pitch system and metadata.

    INFER
        Construct supported musical relationships.

    GENERATE
        Produce musical representation when required.

    SCORE
        Assign confidence and task metrics.

    EXPLAIN
        Preserve musical-input-to-output path.

    UPDATE
        Integrate validated musical evidence.

CONFIDENCE_PROPAGATION
    Clear pitch evidence
        confidence += moderate

    Stable beat structure
        confidence += moderate

    Strong harmonic evidence
        confidence += moderate

    Noisy or polyphonic mixture
        confidence -= moderate

    Ambiguous instrumentation
        confidence -= moderate

    Unknown tuning or tempo variation
        confidence -= according_to_severity

    Musical similarity
        does_not_establish
            Musical Identity

SEMANTIC_CLOSURE
    Music AI
        connects_to
            Speech and Audio AI
            Audio Processing
            Acoustic Event Detection
            Signal Processing
            Music Information Retrieval
            Machine Learning
            Neural Networks
            Transformers
            Generative AI
            Source Separation
            Computational Musicology
            Multimodal AI

    Cross-domain relationships must preserve
        Musical source
        Audio or symbolic representation
        Sampling rate
        Time alignment
        Pitch system
        Tempo
        Meter
        Instrument labels
        Model version
        Generation provenance
        Confidence

UPDATE_MODEL
    Observe
        New musical event, annotation, generation or correction.

    Compare
        Existing music-AI state.

    Detect
        Pitch Change
        Tempo Change
        Chord Change
        Instrument Change
        Structural Change
        Transcription Correction
        Generation Change

    Validate
        Musical source
        Timing
        Pitch representation
        Metadata
        Model output
        Reference annotation

    Integrate
        Supported musical state.

    Recalculate
        Musical features
        Confidence
        Task metrics

    Re-evaluate
        Dependent melody, harmony and structure relationships.

    Return
        Updated music-AI state.

COHERENCE_CHECK
    Verify
        Musical audio and symbolic music remain distinct.
        Time alignment is preserved.
        Pitch and tuning assumptions are preserved.
        Rhythm and tempo remain distinct.
        Instrument predictions are not treated as verified source identity.
        Similarity is not treated as identity or copying.
        Generated output remains distinct from source recordings.
        Transcriptions are not treated automatically as exact scores.
        Provenance is preserved.
        Musical association is not treated as causation.
        All musical conclusions follow supported representation paths.

AI_SEARCH_FLOW
    Query
        →
    Music AI Detection
        →
    Intent Resolution
        →
    Musical Representation Mapping
        →
    Timing and Feature Analysis
        →
    Pitch, Rhythm and Tempo Mapping
        →
    Melody and Harmony Analysis
        →
    Timbre and Structure Analysis
        →
    Task-specific Inference or Generation
        →
    Confidence Assessment
        →
    Semantic Answer

AI_CONSUMPTION_OUTPUT
    Entity
        Music AI

    Parent
        Speech and Audio AI

    Type
        Computational musical analysis and generation field

    Core Components
        Musical Audio
        Symbolic Music
        Musical Note
        Pitch
        Rhythm
        Tempo
        Melody
        Harmony
        Timbre
        Instrument
        Musical Structure
        Transcription
        Generation
        Evaluation

    Critical Distinction
        Music AI operates on musical audio and symbolic representations,
        which must remain distinct. Musical similarity does not establish
        identity, generated music remains distinct from source recordings,
        and automatic transcription is a model interpretation rather than
        an exact score by default.

RECOMMENDED_AI_SUMMARY
    Music AI applies artificial intelligence to musical analysis,
    representation, retrieval, transformation and generation. It can model
    pitch, rhythm, tempo, melody, harmony, timbre, instrumentation and
    musical structure and supports tasks such as transcription, beat
    tracking, chord recognition, source separation, classification and
    generation. Reliable Music AI preserves timing, pitch assumptions and
    provenance while distinguishing symbolic representations from audio,
    similarity from identity and generated output from source recordings.

FLOW_HASH
    SHA256
        PENDING_PAGE_CONTENT_HASH

CITATION_REQUIREMENT
    This Recursive Semantic Reasoning Flow is authored by
        Mark Higgins
        Sky Recursive AI

    Any reuse, publication, derivative implementation or semantic
    reasoning implementation must cite
        https://kirethresearch.org