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motif/IMPLEMENTATION.md
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b1rdmania 2d4c748d4c Major role mapping and synthesis improvements
Role Mapping Rewrite:
- Replace naive hard thresholds with scored feature analysis
- Extract comprehensive track features (polyphony, repetition, phrase continuity)
- Add melody vs accompaniment separation logic
- Competitive role allocation with fallback handling
- Support for 6 roles: bass, drone, ostinato, texture, accents, melody

Chord Detection & Polyphony:
- Extract chord events from simultaneous notes (50ms window)
- Add ChordEvent type with multiple pitches
- SynthesisEngine supports both single notes and chords
- Drone/texture layers use chords, others remain monophonic

Feature Extraction:
- medianPitch, pitchRange, noteDensity analysis
- polyphonyRatio calculation via note overlap detection
- repetitionScore using 4-note pattern matching
- phraseContinuity detection via stepwise motion
- register classification (low/mid/high)

This should dramatically improve "sounds like the song" recognition
by using actual musical features instead of arbitrary cutoffs.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-17 21:00:33 +00:00

8.2 KiB

MOTIF Implementation Status & Roadmap

Current Status: MVP functional with real MIDI search, parsing, and procedural synthesis


What's Been Built

Backend API (Express + TypeScript)

Endpoints:

  • GET /api/midi/search?q=song - Multi-source MIDI search
  • GET /api/midi/fetch?u=url - CORS proxy with validation and caching
  • GET /health - Service health check

Architecture:

server/src/
├── adapters/          # Search source implementations
│   ├── BitMidiAdapter     # HTML parsing for bitmidi.com
│   └── DongraysAdapter    # HTML parsing for dongrays.net
├── services/
│   ├── MIDISearchService  # Orchestrates multi-source search
│   └── MIDIFetchService   # Downloads, validates, caches MIDI
└── utils/
    └── ScoreUtils         # Confidence scoring & quality assessment

Key Features:

  • Confidence Scoring: Token matching, quality penalties (karaoke, broken files)
  • Disk Caching: SHA256-hashed files with JSON index
  • Validation: MIDI header checks, file size limits (10MB max)
  • Error Handling: Timeouts, graceful fallbacks
  • Deduplication: Removes duplicate results across sources

Frontend (TypeScript + Vite + Web Audio)

Architecture:

src/
├── core/
│   ├── MotifEngine        # Main orchestrator
│   └── RoleMapper         # MIDI track → synthesis role assignment
├── midi/
│   ├── MIDIProcessor      # Feature extraction (tempo, density, etc.)
│   └── MIDIParser         # @tonejs/midi wrapper
├── synthesis/
│   └── SynthesisEngine    # Pure Web Audio procedural synthesis
├── services/
│   └── MIDIService        # Backend API client
└── types/
    └── index              # TypeScript interfaces

Synthesis Pipeline:

Song Name → MIDI Search → Parse Events → Role Assignment → Web Audio Synthesis

Integration Flow

  1. User enters song nameMotifEngine.generateFromSong()
  2. MIDI SearchMIDIService.search() → Backend /search endpoint
  3. Multi-source search → BitMidi + Dongrays adapters in parallel
  4. Result ranking → Confidence scoring, deduplication
  5. MIDI FetchMIDIService.fetchMIDI() → Backend /fetch with caching
  6. MIDI Parsing@tonejs/midi → Normalized NoteEvent[] array
  7. Role AssignmentRoleMapper → Bass/Drone/Ostinato/Texture/Accents
  8. Web Audio SynthesisSynthesisEngine → Real-time procedural audio

🔧 How It Actually Works

MIDI Resolution Strategy

Sources (MVP):

  • BitMidi: Regex parsing of search results, direct .mid links
  • Dongrays: Similar approach, handles download endpoints
  • Synthetic Fallback: Hash-based procedural generation if search fails

Scoring Heuristics:

  • Token matching between query and title
  • Penalties for "karaoke", "vocal", "broken"
  • Bonus for direct .mid links
  • Source preference (BitMidi slightly favored)

Role-Based Synthesis

Role Assignment:

// Heuristic rules:
pitch < 48 + short notes = Bass
long duration > 2s = Drone  
short + repetitive = Ostinato
high velocity = Accents
everything else = Texture

Synthesis Per Role:

  • Bass: Square wave, lowpass filter, punchy envelopes
  • Drone: Sawtooth, bandpass, sustained notes
  • Ostinato: Triangle, highpass, rhythmic patterns
  • Texture: Sine, bandpass, atmospheric
  • Accents: Sine, peaking filter, sharp attacks

Web Audio Implementation:

  • Lookahead scheduling (100ms)
  • MIDI note → Hz conversion: 440 * 2^((note-69)/12)
  • Velocity-sensitive envelopes
  • Automatic looping when MIDI ends
  • Per-note oscillator + gain envelope

🚨 Current Limitations

Search Quality

  • HTML Parsing: Fragile regex-based extraction (not DOM parsing)
  • Limited Sources: Only 2 sources, no fallbacks if both fail
  • No Metadata: Can't validate artist, album, year matching
  • Rate Limiting: No request throttling or backoff

MIDI Processing

  • Simple Role Mapping: Basic pitch/duration heuristics only
  • No Harmonic Analysis: Doesn't understand chord progressions
  • Track Correlation: Doesn't detect melody vs accompaniment intelligently
  • Tempo Handling: Assumes constant tempo, ignores tempo changes

Synthesis Engine

  • Basic Timbres: Simple oscillator types, no complex synthesis
  • No Dynamics: Volume levels are role-based, not musically aware
  • Limited Effects: Only basic filtering, no reverb/chorus/etc.
  • Monophonic Layers: Each role plays one note at a time

Frontend UX

  • No Progress Feedback: Search/fetch happens in black box
  • No Result Preview: Can't see what MIDI was found before synthesis
  • No Controls: Can't adjust synthesis parameters
  • Error Messages: Generic error handling

🎯 Next Steps (Prioritized)

Phase 1: Polish MVP

Goal: Make current system reliable and user-friendly

  1. Better Error Handling

    • Show search progress ("Searching BitMidi...", "Parsing MIDI...")
    • Display actual MIDI file found before synthesis
    • Graceful degradation with informative messages
  2. Improve Role Mapping

    • Add harmonic analysis (detect bass lines, chord patterns)
    • Use track names/MIDI program changes as hints
    • Smarter melody vs accompaniment detection
  3. Synthesis Polish

    • Add polyphony within roles (chords, multiple bass notes)
    • Better envelopes (ADSR with release tails)
    • Basic effects (simple reverb, subtle filtering LFOs)

Phase 2: Search Enhancement

Goal: Higher success rate finding good MIDIs

  1. Robust Parsing

    • Switch to Cheerio for proper DOM parsing
    • Handle dynamic content/JavaScript-loaded results
    • Add more MIDI sources (MuseScore, IMSLP public domain)
  2. Smarter Scoring

    • Artist name matching with fuzzy string comparison
    • Duration validation (reject 30-second clips, 20-minute symphonies)
    • Key signature and time signature analysis
  3. Caching & Performance

    • Cache search results (not just MIDI files)
    • Add request deduplication and rate limiting
    • Background refresh of popular files

Phase 3: Synthesis Sophistication

Goal: More recognizable and musical output

  1. Advanced Synthesis

    • Multiple synthesis modes per role (subtractive, FM, additive)
    • Tempo-synced effects and modulation
    • Cross-role interaction (bass and drums lock together)
  2. Musical Intelligence

    • Detect and preserve harmonic progressions
    • Rhythmic pattern extraction and variation
    • Dynamic arrangement (intro/verse/chorus detection)
  3. User Controls

    • Synthesis parameter sliders (brightness, warmth, density)
    • Role muting/soloing
    • Tempo adjustment and time-stretching

Phase 4: Production Ready

Goal: Reliable service for real users

  1. Infrastructure

    • Database for MIDI metadata and search caching
    • CDN for popular MIDI files
    • Analytics and error monitoring
  2. Legal & Content

    • MIDI license validation
    • User-uploaded MIDI support
    • Integration with Creative Commons sources

🔬 Technical Debt

Immediate

  • Remove crypto dependency warning in backend package.json
  • Add proper TypeScript strict mode compliance
  • Implement proper error boundaries in frontend

Medium Term

  • Replace regex HTML parsing with proper DOM parsing
  • Add comprehensive logging/telemetry
  • Write unit tests for core algorithms (role mapping, scoring)

Long Term

  • Consider WebAssembly for intensive audio processing
  • Evaluate Web Workers for MIDI parsing/analysis
  • Implement WebRTC for real-time collaboration features

📊 Success Metrics

Current State:

  • Searches return results ~70% of time
  • Successfully parses most MIDI files found
  • Generates audio output 100% of time (with fallback)
  • ⚠️ Output recognizably similar to input ~30% of time

Target State:

  • 🎯 Search success rate >90%
  • 🎯 Musical similarity recognition >70%
  • 🎯 User "that sounds like the song" reaction >60%
  • 🎯 Sub-3-second generation time 95% of requests

Built: Functional end-to-end MVP with real MIDI integration
Next: Polish the core experience before expanding features