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TAREA 06: Preset Generation - Intelligent Preset Creation

Status: 🔴 PLANNING

🎯 Purpose

AI-powered preset generation, recommendation, and style transfer for audio effects and synthesizers.

🏗️ Key Components

  • Audio-to-Preset Mapping: Inverse synthesis from reference audio
  • Preset Recommendation: Collaborative filtering, content-based filtering
  • Style Transfer: Apply characteristics of reference to effect chain
  • Preset Interpolation: Smooth morphing between presets

📋 Architecture

class PresetGenerator {
public:
    // Generate preset from target audio
    ParameterSet generateFromAudio(
        const IAudioProcessor& processor,
        const std::vector<float>& target_audio,
        const std::vector<float>& input_audio
    );

    // Recommend presets based on audio content
    std::vector<Preset> recommendPresets(
        const std::vector<float>& audio,
        int num_recommendations = 5
    );

    // Interpolate between presets
    Preset interpolate(const Preset& a, const Preset& b, float t);

    // Learn user preferences
    void updateUserModel(const Preset& preset, float rating);
};

🎯 Use Cases

  • "Make it sound like X" feature
  • Genre-aware preset suggestions
  • Automatic preset generation from reference
  • User profile-based recommendations
  • Preset morphing and blending

📚 Techniques

  • Inverse Synthesis: Differentiable DSP + gradient descent
  • Collaborative Filtering: User-preset interaction matrix
  • Content-Based Filtering: Audio feature similarity
  • Embedding Space: Latent representation of presets

🔧 Example

PresetGenerator generator;
generator.initialize("models/preset_recommender.onnx");

// Load reference audio
auto reference = loadAudio("reference_track.wav");

// Generate matching preset for compressor
CompressorDSP compressor;
auto preset = generator.generateFromAudio(
    compressor,
    reference,
    input_audio
);

// Apply generated preset
compressor.setParameters(preset);

Priority: 🟡 Medium - Enhances user experience significantly