Sprint 1 Complete

AI Music Studio

Professional polyphonic generation with Transformer architecture, counterpoint intelligence, and motif detection & development

02
Sprint 1 FeaturesMulti-Voice β€’ Transformer β€’ Motif Engine
βœ“ IMPLEMENTED
🎼

Multi-Voice Polyphonic Generation

SATB voice generation with counterpoint rules, voice independence, and collision detection

🎹
Polyphonic Piano Roll
Soprano (C4-C6)
Alto (F3-F5)
Tenor (C3-C5)
Bass (E2-E4)
πŸ“œ
Counterpoint Rules
βœ“
No parallel fifths0
βœ“
No parallel octaves0
βœ“
Voice crossing avoided0
βœ“
Smooth voice leading0
βœ“
Proper voice ranges0
βœ“
No direct fifths/octaves0
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Voice Independence
--
Soprano
--
Alto
--
Tenor
--
Bass
Overall Polyphonic Score--
βš™οΈ
Generation Settings
Counterpoint Species
β–Ό
Voice Independence0.7
Bars to Generate4
Key Signature
β–Ό
🧬

Motif Detection & Development Engine

Automatic pattern extraction with transformation library and thematic unity analysis

πŸ”
Detected Motifs
Motif A (Primary)
4 notes β€’ 3 occurrences
Motif B (Secondary)
6 notes β€’ 2 occurrences
Motif C (Bridge)
3 notes β€’ 2 occurrences
πŸ”„
Transformations
↕️
Inversion
↩️
Retrograde
πŸ”ƒ
Retro-Inv
⏫
Augment
⏬
Diminish
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Sequence
πŸ—ΊοΈ
Self-Similarity Matrix
πŸ“Š
Thematic Unity
78%
Unity
62%
Coverage
0.34
Density
0.71
Variety
Thematic Coherence
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Development Suggestions
πŸ”„
Invert Motif A at bar 13
+8% unity
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Sequence Motif B up M2
Natural climax
⏫
Augment Motif A for coda
Structural weight
🎡

RNN Melody Completion

Bi-directional LSTM with attention for melodic continuations

🎹
Piano Roll
βš™οΈ
Settings
Temperature0.8
Notes16
Style
β–Ό
Key
β–Ό
πŸ“ˆ
Stats
0
Notes
0
Bars
--
Range
--
Vel
πŸ€–

Advanced Transformer Architecture

Relative positional encoding, multi-scale attention, and advanced sampling

🧠
Architecture
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Input + RPE

Relative positional encoding

[B,S,512]
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Multi-Scale Attention Γ—6

Local + Global

[B,S,512]
🎯

Conditional Heads

Pitch/Rhythm/Velocity/Articulation

[B,S,4Γ—128]
πŸ“Š

Output

Probability distribution

[B,S,128]
TransformerRPEMulti-Scale50-150MB
🎲
Sampling
Top-K
40
Top-P
0.92
πŸ”Ž
Beam Search
Beam Width4
βš™οΈ
Settings
Attention Heads8
Hidden Dim512
Context256
🎯
Musical Heuristics
Melodic Coherence0.8
Intervallic Variety0.6
Rhythmic Interest0.7
πŸ“ˆ
Stats
12ms
Inference
2.34
Perplexity
πŸ“¦

Export & Deploy

Export content and models

🎡
Export Content
🧠
Export Models
βš™οΈ
Settings
Tempo120
πŸš€
Platforms
TensorFlow.jsWebGPUCoreMLONNX
βœ“Success