feat: Implement Feature 4 - Score Following & Performance Analysis
Implemented comprehensive music analysis system with the following components:
## Core Analysis Modules
- ScoreFollower: Real-time score following using DTW alignment
- PerformanceMetrics: Comprehensive musical metrics (onset, pitch, rhythm, expressivity)
- MeasureAnalyzer: Measure-level analysis with problem identification
## API & WebSocket
- REST endpoints for async analysis jobs
- WebSocket support for real-time score following
- Batch analysis endpoint
## Schemas & Validation
- Pydantic schemas for all analysis data structures
- Analysis status tracking (pending, processing, completed, failed)
## Async Processing
- Celery tasks for heavy analysis workloads
- Redis integration for task queue
## Features
- Dynamic Time Warping (DTW) for score-performance alignment
- MIR-eval metrics for onset detection
- Measure-by-measure performance breakdown
- Automated practice suggestions
- Performance level classification (Beginner to Expert)
## Dependencies
- partitura: Score analysis
- mir-eval: MIR metrics
- librosa: Audio processing
- dtaidistance: DTW implementation
- FastAPI: REST & WebSocket
- Celery: Async tasks
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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