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PLAN DE DESARROLLO - 05_24_COMPOSITION_INTELLIGENCE

Resumen Ejecutivo

Subsistema: 05_24_COMPOSITION_INTELLIGENCE - El Arquitecto Inteligente de Grafos DSP

Propósito: Sistema cognitivo que entiende cómo combinar módulos DSP de manera inteligente para crear procesadores complejos y musicalmente útiles.

Criticidad: ⭐⭐⭐⭐⭐ (Diferenciador clave vs. competencia)

Inversión Estimada: 10-14 meses persona para sistema completo

Dependencias Críticas: - 05_23_QUALITY_VALIDATION (certified modules) - 05_11_GRAPH_SYSTEM (processing graphs) - 05_26_MACHINE_LEARNING (ML models) - 05_07_PRESET_MANAGEMENT (preset library)

TAREA 1: Semantic Analyzer - El Lingüista de Módulos DSP

Carpeta: 05_24_00_semantic_analyzer/

DESARROLLO:

  1. Core Implementation
  2. Module ontology system con categorías (dynamics, spectral, temporal, distortion)
  3. Multi-dimensional semantic model con atributos sonoros (warmth, brightness, density, aggression)
  4. Knowledge graph de interacciones entre módulos
  5. Compatibility scoring algorithm entre módulos
  6. Intent analysis system para interpretar objetivos del usuario
  7. Relationship database (complements, conflicts, synergies)

  8. Semantic attribute extraction desde audio features

  9. Testing Framework

  10. Unit tests para semantic scoring
  11. Validation de ontology completeness
  12. Intent analysis accuracy tests
  13. Compatibility prediction validation
  14. Performance benchmarks (< 10ms por análisis)

  15. Test coverage >90%

  16. Documentación

  17. Semantic model specification
  18. Ontology documentation
  19. API reference para semantic queries
  20. Examples de uso con módulos reales

  21. Knowledge graph visualization

  22. Interfaces y Conexiones

  23. API para query de atributos semánticos
  24. Interface con Quality Validation (módulos certificados)
  25. Events para semantic updates
  26. Data contracts para module knowledge
  27. Protocol para semantic queries

ENTREGABLES: - [ ] Semantic model implementation - [ ] Module ontology database - [ ] Compatibility scoring engine - [ ] Intent analysis system - [ ] Suite de tests completa - [ ] API documentation - [ ] Knowledge graph visualizer

ESTIMACIÓN: 6-7 semanas

TAREA 2: Graph Optimizer - El Ingeniero de Topologías

Carpeta: 05_24_01_graph_optimizer/

DESARROLLO:

  1. Core Implementation
  2. Multi-objective optimization (latency, CPU, quality)
  3. Graph reordering algorithms (genetic, heuristic)
  4. Redundancy elimination system
  5. Serial-to-parallel conversion engine
  6. Parallel-to-serial optimization
  7. Bypass detection for inactive modules
  8. Lookahead consolidation algorithm

  9. Processing order optimization heuristics

  10. Testing Framework

  11. Unit tests para optimization algorithms
  12. Validation de orden óptimo vs. manual
  13. Performance benchmarks (CPU reduction metrics)
  14. Quality preservation tests
  15. Latency minimization validation
  16. Edge case testing (circular dependencies)

  17. Test coverage >90%

  18. Documentación

  19. Optimization algorithms documentation
  20. Heuristic rules specification
  21. Performance characteristics
  22. API reference
  23. Examples de optimización real

  24. Before/after comparison cases

  25. Interfaces y Conexiones

  26. API para graph optimization requests
  27. Interface con Graph System (05_11)
  28. Events para optimization complete
  29. Metrics reporting interface
  30. Configuration API para optimization goals

ENTREGABLES: - [ ] Graph optimization engine - [ ] Reordering algorithms - [ ] Redundancy detector - [ ] Performance optimizer - [ ] Test suite pasando - [ ] Optimization metrics - [ ] Documentation completa

ESTIMACIÓN: 8-9 semanas

TAREA 3: Pattern Recognizer - El Arqueólogo de Cadenas Clásicas

Carpeta: 05_24_02_pattern_recognizer/

DESARROLLO:

  1. Core Implementation
  2. Classic pattern library (vocal, drum, guitar, master chains)
  3. Pattern matching algorithm
  4. Machine learning para pattern extraction
  5. Session analysis para learning
  6. Feature extraction desde chains
  7. Clustering de chains similares
  8. Next-module suggestion engine basado en patterns

  9. Context-aware ranking system

  10. Testing Framework

  11. Pattern recognition accuracy tests
  12. Validation contra chains profesionales
  13. Suggestion relevance metrics
  14. Learning rate validation
  15. Context matching tests
  16. Performance benchmarks

  17. Test coverage >90%

  18. Documentación

  19. Pattern library specification
  20. ML model documentation
  21. Feature extraction algorithms
  22. API reference
  23. Examples de patterns reconocidos

  24. Learning curve analysis

  25. Interfaces y Conexiones

  26. API para pattern queries
  27. Interface con ML models (05_26)
  28. Learning data ingestion API
  29. Suggestion engine interface
  30. Pattern library management API

ENTREGABLES: - [ ] Pattern recognition engine - [ ] Classic pattern library (50+ patterns) - [ ] ML-based learning system - [ ] Suggestion engine - [ ] Test suite completa - [ ] Pattern database - [ ] Documentation y examples

ESTIMACIÓN: 7-8 semanas

TAREA 4: Synergy Detector - El Alquimista de Combinaciones

Carpeta: 05_24_03_synergy_detector/

DESARROLLO:

  1. Core Implementation
  2. Systematic synergy discovery engine
  3. Combination testing framework
  4. Audio characteristic analysis
  5. Emergent property detection
  6. Synergy scoring algorithm
  7. Unique character identification
  8. Synergy database management

  9. Real-time synergy validation

  10. Testing Framework

  11. Synergy detection validation
  12. False positive elimination tests
  13. Audio analysis accuracy
  14. Scoring algorithm validation
  15. Performance benchmarks (discovery speed)
  16. Test signal battery

  17. Test coverage >90%

  18. Documentación

  19. Synergy discovery methodology
  20. Scoring algorithm documentation
  21. Audio analysis techniques
  22. API reference
  23. Discovered synergies catalog

  24. Use cases y examples

  25. Interfaces y Conexiones

  26. API para synergy queries
  27. Interface con Audio Analysis (05_37)
  28. Discovery results database API
  29. Real-time testing interface
  30. Synergy validation protocol

ENTREGABLES: - [ ] Synergy discovery engine - [ ] Audio analysis framework - [ ] Synergy scoring system - [ ] Synergy database (50+ synergies) - [ ] Test suite completa - [ ] Catalog de synergies - [ ] Documentation completa

ESTIMACIÓN: 6-7 semanas

TAREA 5: Conflict Resolver - El Mediador de Módulos

Carpeta: 05_24_04_conflict_resolver/

DESARROLLO:

  1. Core Implementation
  2. Conflict detection engine (gain wars, phase cancellation, latency accumulation)
  3. Resolution algorithm library
  4. Symptom identification system
  5. Automatic resolution proposer
  6. User warning system
  7. Sidechain coordination
  8. Phase coherence validation

  9. Frequency masking detection

  10. Testing Framework

  11. Conflict detection accuracy tests
  12. Resolution effectiveness validation
  13. False positive/negative analysis
  14. Performance impact tests
  15. Edge case testing
  16. Resolution quality metrics

  17. Test coverage >90%

  18. Documentación

  19. Conflict patterns catalog
  20. Detection algorithms documentation
  21. Resolution strategies guide
  22. API reference
  23. Examples de conflictos resueltos

  24. Best practices guide

  25. Interfaces y Conexiones

  26. API para conflict checking
  27. Resolution proposal interface
  28. Warning system integration
  29. Metrics reporting API
  30. Configuration interface

ENTREGABLES: - [ ] Conflict detection engine - [ ] Resolution algorithm library - [ ] Warning system - [ ] Conflict catalog - [ ] Test suite pasando - [ ] Resolution metrics - [ ] Documentation completa

ESTIMACIÓN: 5-6 semanas

TAREA 6: Routing Intelligence - El Maestro del Flujo de Señal

Carpeta: 05_24_05_routing_intelligence/

DESARROLLO:

  1. Core Implementation
  2. Adaptive routing engine (serial, parallel, send/return, sidechain, multiband, M/S)
  3. Dependency analysis system
  4. Parallelization opportunity detector
  5. Buffer copy minimization
  6. Phase coherence enforcement
  7. Split/merge point optimization
  8. Connection metadata management

  9. Routing graph optimization

  10. Testing Framework

  11. Routing correctness validation
  12. Phase coherence tests
  13. Buffer efficiency metrics
  14. Parallelization effectiveness tests
  15. Edge case routing scenarios
  16. Performance benchmarks

  17. Test coverage >90%

  18. Documentación

  19. Routing architecture specification
  20. Algorithm documentation
  21. Optimization strategies guide
  22. API reference
  23. Examples de routing complejo

  24. Best practices

  25. Interfaces y Conexiones

  26. API para routing requests
  27. Interface con Graph System (05_11)
  28. Optimization metrics API
  29. Configuration interface
  30. Routing validation protocol

ENTREGABLES: - [ ] Routing intelligence engine - [ ] Dependency analyzer - [ ] Optimization algorithms - [ ] Phase coherence validator - [ ] Test suite completa - [ ] Routing metrics - [ ] Documentation completa

ESTIMACIÓN: 7-8 semanas

TAREA 7: Gain Staging Manager - El Equilibrista de Niveles

Carpeta: 05_24_06_gain_staging_manager/

DESARROLLO:

  1. Core Implementation
  2. Optimal gain structure calculator
  3. Input audio statistics analyzer
  4. Per-module gain prediction
  5. Compensation gain calculator
  6. Headroom maintenance system
  7. Clipping prevention
  8. Signal-to-noise optimization

  9. Real-time gain adjustment

  10. Testing Framework

  11. Gain staging accuracy tests
  12. Clipping prevention validation
  13. Headroom optimization tests
  14. Signal quality metrics
  15. Dynamic range preservation tests
  16. Performance benchmarks

  17. Test coverage >90%

  18. Documentación

  19. Gain staging methodology
  20. Algorithm documentation
  21. Headroom specifications
  22. API reference
  23. Examples de gain staging

  24. Best practices guide

  25. Interfaces y Conexiones

  26. API para gain calculation
  27. Real-time metering interface
  28. Audio statistics API
  29. Adjustment control interface
  30. Validation protocol

ENTREGABLES: - [ ] Gain staging engine - [ ] Statistics analyzer - [ ] Compensation calculator - [ ] Monitoring system - [ ] Test suite pasando - [ ] Gain metrics - [ ] Documentation completa

ESTIMACIÓN: 4-5 semanas

TAREA 8: Latency Compensator - El Sincronizador Temporal

Carpeta: 05_24_07_latency_compensator/

DESARROLLO:

  1. Core Implementation
  2. Latency calculation engine (per-node, per-path)
  3. Parallel path compensation
  4. Delay buffer insertion
  5. Shared buffer optimization
  6. Maximum latency tracking
  7. Automatic delay compensation
  8. Path synchronization validation

  9. Latency reporting system

  10. Testing Framework

  11. Synchronization accuracy tests
  12. Latency calculation validation
  13. Compensation effectiveness tests
  14. Buffer sharing optimization tests
  15. Phase alignment validation
  16. Performance benchmarks

  17. Test coverage >90%

  18. Documentación

  19. Latency compensation methodology
  20. Algorithm documentation
  21. Optimization strategies
  22. API reference
  23. Examples de compensación

  24. Technical specifications

  25. Interfaces y Conexiones

  26. API para latency queries
  27. Compensation control interface
  28. Reporting API
  29. Buffer management interface
  30. Validation protocol

ENTREGABLES: - [ ] Latency compensation engine - [ ] Path synchronization system - [ ] Buffer optimizer - [ ] Reporting system - [ ] Test suite completa - [ ] Latency metrics - [ ] Documentation completa

ESTIMACIÓN: 5-6 semanas

TAREA 9: Macro Controller - El Titiritero de Parámetros

Carpeta: 05_24_08_macro_controller/

DESARROLLO:

  1. Core Implementation
  2. Macro control framework
  3. Multi-parameter mapping system
  4. Curve type support (linear, exponential, custom)
  5. Smart macro generation (brightness, warmth, punch, glue, space, width)
  6. Related parameter detection
  7. Mapping optimization
  8. Value interpolation engine

  9. Macro preset system

  10. Testing Framework

  11. Mapping accuracy tests
  12. Interpolation quality validation
  13. Smart generation tests
  14. Parameter relationship validation
  15. Usability tests
  16. Performance benchmarks

  17. Test coverage >90%

  18. Documentación

  19. Macro system architecture
  20. Mapping algorithm documentation
  21. Generation strategies guide
  22. API reference
  23. Examples de macros útiles

  24. Best practices

  25. Interfaces y Conexiones

  26. API para macro creation
  27. Parameter mapping interface
  28. Control value API
  29. Preset management interface
  30. Validation protocol

ENTREGABLES: - [ ] Macro controller framework - [ ] Smart generation engine - [ ] Mapping system - [ ] Preset library - [ ] Test suite pasando - [ ] Usage metrics - [ ] Documentation completa

ESTIMACIÓN: 6-7 semanas

TAREA 10: Template Generator - El Creador de Blueprints

Carpeta: 05_24_09_template_generator/

DESARROLLO:

  1. Core Implementation
  2. Template library system
  3. Contextual template generation
  4. Module configuration presets
  5. Routing template system
  6. Genre-specific templates
  7. Use-case templates (vocal, drum, guitar, master, bus)
  8. Parameter optimization per template

  9. Template customization engine

  10. Testing Framework

  11. Template quality validation
  12. Context matching tests
  13. Configuration correctness tests
  14. Genre appropriateness validation
  15. User acceptance testing
  16. Performance metrics

  17. Test coverage >90%

  18. Documentación

  19. Template library specification
  20. Generation methodology
  21. Customization guide
  22. API reference
  23. Template catalog (100+ templates)

  24. Usage examples

  25. Interfaces y Conexiones

  26. API para template queries
  27. Generation request interface
  28. Customization API
  29. Library management interface
  30. Context detection protocol

ENTREGABLES: - [ ] Template generation engine - [ ] Template library (100+ templates) - [ ] Customization system - [ ] Context analyzer - [ ] Test suite completa - [ ] Template catalog - [ ] Documentation completa

ESTIMACIÓN: 7-8 semanas

TAREA 11: Morphing Engine - El Transformador de Configuraciones

Carpeta: 05_24_10_morphing_engine/

DESARROLLO:

  1. Core Implementation
  2. Chain state representation
  3. Module crossfading system
  4. Parameter interpolation engine
  5. Routing morphing algorithm
  6. Intelligent interpolation per parameter type (frequency, gain, time)
  7. Artifact prevention system
  8. Transition smoothing

  9. Tempo-synced morphing

  10. Testing Framework

  11. Morphing smoothness validation
  12. Artifact detection tests
  13. Interpolation accuracy tests
  14. Audio quality preservation tests
  15. Performance benchmarks
  16. Edge case testing

  17. Test coverage >90%

  18. Documentación

  19. Morphing architecture
  20. Interpolation algorithms
  21. Artifact prevention strategies
  22. API reference
  23. Examples de morphing

  24. Technical specifications

  25. Interfaces y Conexiones

  26. API para morph requests
  27. State management interface
  28. Parameter interpolation API
  29. Transition control interface
  30. Quality validation protocol

ENTREGABLES: - [ ] Morphing engine - [ ] Interpolation system - [ ] Artifact prevention - [ ] State manager - [ ] Test suite pasando - [ ] Quality metrics - [ ] Documentation completa

ESTIMACIÓN: 6-7 semanas

TAREA 12: Suggestion Engine - El Consejero Creativo

Carpeta: 05_24_11_suggestion_engine/

DESARROLLO:

  1. Core Implementation
  2. Contextual suggestion system
  3. Multi-source analysis (chain, audio, user history)
  4. Problem detection (mud, harshness, imbalance)
  5. Pattern-based suggestions
  6. User preference learning
  7. Confidence scoring
  8. Rationale generation

  9. Expected result prediction

  10. Testing Framework

  11. Suggestion accuracy metrics
  12. Acceptance rate tracking
  13. Context analysis validation
  14. Problem detection tests
  15. Learning effectiveness tests
  16. Performance benchmarks

  17. Test coverage >90%

  18. Documentación

  19. Suggestion engine architecture
  20. Analysis algorithms
  21. Learning methodology
  22. API reference
  23. Examples de sugerencias

  24. Accuracy metrics

  25. Interfaces y Conexiones

  26. API para suggestion requests
  27. Context analysis interface
  28. User history API
  29. Feedback collection interface
  30. Learning protocol

ENTREGABLES: - [ ] Suggestion engine - [ ] Context analyzer - [ ] Learning system - [ ] Confidence scorer - [ ] Test suite completa - [ ] Accuracy metrics (>85%) - [ ] Documentation completa

ESTIMACIÓN: 7-8 semanas

TAREA 13: Integration Testing & Validation

Carpeta: 05_24_test_integration/

DESARROLLO:

  1. End-to-End Test Suite
  2. Complete workflow tests (create chain → optimize → suggest → morph)
  3. Cross-subsystem integration tests
  4. Performance validation suite
  5. Stress testing con chains complejos
  6. Load testing (multiple concurrent operations)
  7. Regression test automation

  8. Quality metrics validation

  9. Validation Frameworks

  10. Semantic accuracy validation
  11. Optimization effectiveness metrics
  12. Pattern recognition accuracy
  13. Synergy detection validation
  14. Conflict resolution effectiveness
  15. Suggestion acceptance rates

  16. User satisfaction metrics

  17. Performance Benchmarks

  18. Real-time performance tests
  19. Memory usage profiling
  20. CPU efficiency metrics
  21. Latency measurements
  22. Throughput testing

  23. Scalability validation

  24. Documentation

  25. Integration test guide
  26. Performance benchmarks report
  27. Validation methodology
  28. Test coverage report
  29. Known issues and limitations

ENTREGABLES: - [ ] E2E test suite completa - [ ] Performance benchmarks - [ ] Validation reports - [ ] Integration documentation - [ ] CI/CD integration - [ ] Quality metrics dashboard

ESTIMACIÓN: 4-5 semanas

TAREA 14: System Integration

Carpeta: 05_24_interfaces/

DESARROLLO:

  1. Conectores con Subsistemas
  2. Interface con 05_23_QUALITY_VALIDATION (módulos certificados)
  3. Interface con 05_11_GRAPH_SYSTEM (grafos de procesamiento)
  4. Interface con 05_26_MACHINE_LEARNING (modelos ML)
  5. Interface con 05_07_PRESET_MANAGEMENT (biblioteca de presets)
  6. Interface con 05_37_AUDIO_QUALITY_ANALYSIS (análisis de audio)
  7. Interface con 05_15_REFERENCE_IMPLEMENTATIONS (chains de referencia)

  8. Interface con 05_35_LEARNING (patrones de usuario)

  9. Event Bus Implementation

  10. Event definitions para composition operations
  11. Publisher/subscriber system
  12. Event routing y filtering
  13. Async event handling

  14. Event logging y debugging

  15. Shared State Management

  16. State synchronization entre subsistemas
  17. Caching strategy
  18. State persistence
  19. Conflict resolution

  20. Transaction management

  21. Communication Protocols

  22. REST API para external access
  23. WebSocket para real-time updates
  24. Protocol buffers para efficiency
  25. API versioning
  26. Error handling y recovery

ENTREGABLES: - [ ] Subsystem connectors - [ ] Event bus implementation - [ ] State management system - [ ] Communication protocols - [ ] Integration documentation - [ ] API specifications

ESTIMACIÓN: 5-6 semanas

TAREA 15: Documentation Package

Carpeta: 05_24_documentation/

DESARROLLO:

  1. Complete API Reference
  2. API documentation para cada subsistema
  3. Parameter specifications
  4. Return value documentation
  5. Error code reference

  6. Code examples por cada API call

  7. Developer Guide

  8. Architecture overview
  9. Development setup guide
  10. Coding standards
  11. Testing guidelines
  12. Contribution guide

  13. Debugging tips

  14. User Manual

  15. Feature overview
  16. Usage tutorials
  17. Common workflows
  18. Troubleshooting guide
  19. FAQ

  20. Best practices

  21. Migration Guides

  22. Version upgrade guides
  23. Breaking changes documentation
  24. Migration scripts

  25. Compatibility matrix

  26. Architecture Diagrams

  27. System architecture diagrams
  28. Data flow diagrams
  29. Sequence diagrams
  30. Component interaction diagrams
  31. Deployment diagrams

ENTREGABLES: - [ ] Complete API reference - [ ] Developer guide - [ ] User manual - [ ] Migration guides - [ ] Architecture documentation - [ ] Diagram library

ESTIMACIÓN: 3-4 semanas

PRIORIZACIÓN DE TAREAS

Fase 1: Fundamentos (Meses 1-3)

Dependencias Críticas - Implementar Primero

  1. TAREA 1: Semantic Analyzer (6-7 semanas)
  2. Base de todo el sistema

  3. Sin dependencias externas críticas

  4. TAREA 5: Conflict Resolver (5-6 semanas)

  5. Crítico para seguridad del sistema

  6. Depende de Semantic Analyzer

  7. TAREA 7: Gain Staging Manager (4-5 semanas)

  8. Fundamental para calidad de audio
  9. Puede desarrollarse en paralelo

Total Fase 1: ~12-14 semanas

Fase 2: Optimización e Inteligencia (Meses 4-6)

Capacidades Core del Sistema

  1. TAREA 2: Graph Optimizer (8-9 semanas)
  2. Depende de Semantic Analyzer

  3. Core optimization capability

  4. TAREA 6: Routing Intelligence (7-8 semanas)

  5. Depende de Graph Optimizer

  6. Fundamental para grafos complejos

  7. TAREA 8: Latency Compensator (5-6 semanas)

  8. Depende de Routing Intelligence

  9. Crítico para procesamiento paralelo

  10. TAREA 3: Pattern Recognizer (7-8 semanas)

  11. Puede desarrollarse en paralelo
  12. Necesita Semantic Analyzer

Total Fase 2: ~16-18 semanas

Fase 3: Creatividad e Interacción (Meses 7-9)

Features Avanzadas de Usuario

  1. TAREA 4: Synergy Detector (6-7 semanas)
  2. Depende de Pattern Recognizer

  3. Descubrimiento creativo

  4. TAREA 10: Template Generator (7-8 semanas)

  5. Depende de Pattern Recognizer

  6. Alto valor para usuarios

  7. TAREA 9: Macro Controller (6-7 semanas)

    • Puede desarrollarse en paralelo
    • Mejora usabilidad

  8. TAREA 12: Suggestion Engine (7-8 semanas)

    • Integra múltiples subsistemas
    • Máxima inteligencia

  9. TAREA 11: Morphing Engine (6-7 semanas)

    • Feature avanzado
    • Depende de múltiples subsistemas

Total Fase 3: ~16-18 semanas

Fase 4: Integration & Polish (Meses 10-11)

Finalización del Sistema

  1. TAREA 13: Integration Testing (4-5 semanas)

    • Requiere todos los subsistemas completos
    • Validación end-to-end

  2. TAREA 14: System Integration (5-6 semanas)

    • En paralelo con testing
    • Conectores externos

  3. TAREA 15: Documentation Package (3-4 semanas)

    • Final de la implementación
    • Documentación completa

Total Fase 4: ~8-10 semanas

TIMELINE TOTAL

Estimación Conservadora: 52-60 semanas (12-14 meses) Estimación Optimista: 44-50 semanas (10-12 meses) Estimación con Buffer: 60-70 semanas (14-16 meses)

Inversión Estimada Documento: 6-8 meses persona Inversión Real Estimada: 10-14 meses (considerando complejidad ML y optimización)

CRITERIOS DE ÉXITO

Métricas Técnicas

  • Template coverage: 100+ templates útiles
  • Conflict detection: 95% accuracy
  • Synergy discovery: 50+ sinergias documentadas
  • Suggestion accuracy: >85% aceptación
  • Graph optimization: 30% reducción CPU promedio
  • Pattern recognition: 95% accuracy
  • Gain staging: 0 clips, headroom óptimo
  • Latency compensation: 100% paths sincronizados
  • Test coverage: >90% en todos los subsistemas

Métricas de Usuario

  • Macro usability: 90% usuarios usan macros generados
  • Morphing smoothness: 0 artifacts audibles
  • User satisfaction: >90% encuentran sugerencias útiles
  • Composition speed: 3x más rápido crear cadenas
  • Creative discovery: 10+ combinaciones nuevas/mes

Métricas de Performance

  • CPU efficiency: Cadenas 25% más eficientes
  • Real-time performance: <10ms latencia adicional
  • Memory footprint: <500MB para sistema completo
  • Startup time: <2 segundos para inicialización
  • Learning rate: Sistema mejora 5% mensual

MARCO TEÓRICO-PRÁCTICO

Conceptos Fundamentales

  1. Semantic Analysis
  2. Ontology-based module classification
  3. Multi-dimensional attribute spaces
  4. Knowledge graphs para relationships

  5. Compatibility scoring algorithms

  6. Graph Optimization

  7. Multi-objective optimization (Pareto fronts)
  8. Genetic algorithms para exploration
  9. Heuristic rules para common patterns

  10. Topological sorting para dependencies

  11. Pattern Recognition

  12. Feature extraction desde signal chains
  13. Clustering algorithms (k-means, DBSCAN)
  14. Similarity metrics (cosine, Euclidean)

  15. Sequence matching algorithms

  16. Machine Learning

  17. Supervised learning para classification
  18. Unsupervised learning para discovery
  19. Reinforcement learning para optimization
  20. Transfer learning desde professional sessions

Algoritmos Específicos

  1. Semantic Compatibility Scoring 

    score = Σ(attribute_similarity * weight) -
        conflict_penalty +
        synergy_bonus

  2. Graph Optimization (Genetic Algorithm) 

    1. Generate initial population of permutations
2. Evaluate fitness (CPU, latency, quality)
3. Selection (tournament/roulette)
4. Crossover (order-preserving)
5. Mutation (swap/insert/delete)
6. Iterate until convergence

  3. Pattern Matching 

    1. Extract feature vector from chain
2. Compare with known patterns
3. Find k-nearest neighbors
4. Rank by context relevance
5. Return top-N matches

  4. Latency Compensation 

    1. Calculate latency per node (DFS)
2. Find maximum latency path
3. Insert delays on shorter paths
4. Optimize shared delay buffers
5. Validate phase coherence

Patterns Arquitectónicos

  1. Strategy Pattern - Diferentes optimization strategies
  2. Observer Pattern - Event-driven suggestions
  3. Factory Pattern - Template generation
  4. Command Pattern - Undoable morphing operations
  5. Memento Pattern - Chain state management
  6. Decorator Pattern - Module capability extension

Referencias Técnicas

  1. DSP Theory
  2. Oppenheim & Schafer - "Discrete-Time Signal Processing"

  3. Zölzer - "Digital Audio Signal Processing"

  4. Graph Algorithms

  5. Cormen et al. - "Introduction to Algorithms"

  6. Network flow optimization literature

  7. Machine Learning

  8. Bishop - "Pattern Recognition and Machine Learning"

  9. Goodfellow et al. - "Deep Learning"

  10. Music Production

  11. Massey - "The Art of Mixing"
  12. Senior - "Mixing Secrets"
  13. Professional mixing chain analysis papers

ANTIPATTERNS A EVITAR

Diseño

🚫 Over-automation - Quitar control creativo al usuario ✅ Solución: Siempre permitir override manual y customización

🚫 Template rigidity - Templates no customizables ✅ Solución: Templates como starting points, no restricciones

🚫 Suggestion spam - Demasiadas sugerencias ✅ Solución: Ranking por relevancia, mostrar top-3 solamente

Implementación

🚫 CPU ignorance - Sugerir cadenas que destruyen CPU ✅ Solución: Performance prediction en optimizer

🚫 Latency accumulation - No considerar latencia total ✅ Solución: Latency compensator siempre activo

🚫 Phase ignorance - No verificar coherencia de fase ✅ Solución: Phase checking en routing intelligence

Operación

🚫 Conflict paranoia - Ver conflictos inexistentes ✅ Solución: Thresholds calibrados con testing real

🚫 Synergy hallucination - Inventar sinergias falsas ✅ Solución: Validación empírica de todas las sinergias

🚫 User preference amnesia - Ignorar historial ✅ Solución: Learning system persistente

Performance

🚫 Gain disasters - Mal gain staging causando distorsión ✅ Solución: Gain staging automático siempre activo

🚫 Morphing artifacts - Transiciones con clicks ✅ Solución: Smooth interpolation con crossfading

🚫 Genre blindness - Mismas sugerencias para todos ✅ Solución: Context-aware suggestion engine

RIESGOS Y MITIGACIÓN

Riesgos Técnicos

  1. Complejidad ML excesiva
  2. Riesgo: Overfit, training time excesivo

  3. Mitigación: Comenzar con rule-based, agregar ML gradualmente

  4. Performance inadecuada

  5. Riesgo: Latencia inaceptable en suggestions

  6. Mitigación: Caching agresivo, async processing

  7. Integración compleja

  8. Riesgo: Dependencias circulares, coupling alto
  9. Mitigación: Clear interfaces, dependency injection

Riesgos de Producto

  1. Sugerencias irrelevantes
  2. Riesgo: Baja tasa de aceptación

  3. Mitigación: Feedback loop, A/B testing

  4. Templates limitados

  5. Riesgo: No cubrir casos de uso reales

  6. Mitigación: Research con productores profesionales

  7. Curva de aprendizaje

  8. Riesgo: Sistema demasiado complejo para usuarios
  9. Mitigación: Progressive disclosure, tutorials

Fecha de creación: 2025-01-15 Versión: 1.0 Estado: Planificación Completa - Listo para Desarrollo