# AI MusiMuse # 009_AI_COMPOSER.md Version 1.0 --- # Purpose The AI Composer is the central intelligence of AI MusiMuse. Its purpose is not to imitate songs. Its purpose is to create entirely new compositions that statistically resemble the author's musical language. The Composer never copies existing tracks. Instead it learns musical thinking. --- # Overall Pipeline ``` User Request ↓ Style Model ↓ Idea Composer ↓ Structure Composer ↓ Sound Composer ↓ Renderer ↓ Audio ``` --- # Composer Levels The Composer consists of three independent stages. ``` Ideas ↓ Structure ↓ Sound ``` Each stage operates at a different abstraction level. --- # Stage 1 Idea Composer --- Question ``` What should happen? ``` The Idea Composer creates an abstract musical plan. Example ``` Atmosphere ↓ Expectation ↓ Growth ↓ Release ↓ Reflection ``` No instruments exist yet. No notes exist yet. No tempo exists yet. Only musical intention. --- Input Style Model Random Seed User Constraints --- Output Idea Graph --- Idea Node Each node contains ``` id type importance expected_duration energy_target emotion_target ``` --- # Stage 2 Structure Composer --- Question ``` When should everything happen? ``` The Structure Composer converts ideas into sections. Example ``` Intro ↓ Development ↓ Break ↓ Theme ↓ Outro ``` --- Input Idea Graph Style Model --- Output Timeline Sections Transitions Energy Curve Density Curve --- # Stage 3 Sound Composer --- Question ``` How should it sound? ``` Only here musical details appear. Examples Harmony Rhythm Textures Pads Bass Effects Leads Noise Automation --- Input Timeline MusicDNA Statistics Style Model --- Output Musical Events --- # Musical Events Every event contains ``` time duration category parameters ``` Examples ``` PadStart BassEnter FilterSweep HarmonyShift Silence FXRise ``` --- # Rendering The renderer converts musical events into audio. The renderer is replaceable. Possible renderers ``` FluidSynth Kontakt VST Diffusion Decoder Neural Renderer ``` --- # Style Model The Composer never reads individual songs. It only receives ``` Style Model ``` The Style Model contains preferred BPM preferred durations preferred harmonic movement preferred dynamics preferred transitions preferred density evolution preferred structures --- # Random Seed Randomness only affects generation. The same ``` Seed + Style + Constraints ``` always produces identical music. --- # User Constraints The Composer supports constraints. Examples ``` Length 6 minutes BPM 72 Energy Low Key Minor Atmosphere Dark Development Slow ``` Constraints guide generation but never override Style completely. --- # Creativity The Composer should balance ``` Style vs Novelty ``` Too much Style ↓ Copies existing music Too much Novelty ↓ Loses author's identity --- # Internal State The Composer does not remember generated tracks. Every generation starts from Style Model + Random Seed + User Constraints --- # Long-Term Memory Only the analysis database grows. Generated tracks never modify Style automatically. Future versions may optionally support incremental learning. --- # Future AI Models The Composer architecture is model-independent. Possible implementations Transformer Diffusion VAE Hierarchical Transformer State Space Models Hybrid Architectures The surrounding architecture remains unchanged. --- # Design Principles The Composer never generates raw audio directly. The Composer never copies songs. Ideas precede structure. Structure precedes sound. Rendering is isolated. Generation is deterministic for identical seeds. Analysis and generation remain independent. --- # Long-Term Goal AI MusiMuse should eventually compose music in the same way a human composer works. First an idea appears. Then the composition develops. Then instrumentation emerges. Only at the final stage does sound become audio.