adhit-r / adhit-r/RagaSense

Implement Advanced Raga Detection System

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#34 0 comentarios 0 reacciones 0 asignados Ver en GitHub
enhancement high-priority ml-model
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Python
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2
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Descripción

## Overview
Implement the comprehensive Advanced Raga Detection System with deep cultural understanding of Indian classical music.

## Key Features
- **22-shruti system analysis** with accurate cultural mapping
- **Complex taal cycle detection** (up to 32 beats)
- **Gamaka (ornament) detection** and classification
- **Performance structure analysis** (alap, jor, jhala, gat)
- **YuE foundation model integration** with Indian music adaptations
- **Multi-scale temporal modeling** for complex rhythmic patterns

## Technical Components
- [ ] AdvancedAudioProcessor with microtonal precision
- [ ] CulturalKnowledgeBase with comprehensive raga database
- [ ] YuEIndianExtension with specialized encoders
- [ ] ShrutiPitchEncoder for 22-shruti analysis
- [ ] TaalCycleEncoder for complex rhythm patterns
- [ ] GamakaDetector for ornament classification
- [ ] RagaClassificationHead with cultural knowledge integration

## Success Criteria
- [ ] System processes audio files and identifies ragas accurately
- [ ] Cultural insights generated for each analysis
- [ ] Support for both Carnatic and Hindustani traditions
- [ ] Comprehensive evaluation metrics implemented

## Files to Create/Modify
- `ml/training/advanced_raga_detector.py`
- `ml/training/cultural_knowledge_base.py`
- `ml/training/audio_processor.py`
- `docs/ADVANCED_RAGA_SYSTEM.md`

## Priority: High
This represents the core technical innovation of the project.

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