Advanced AI system for generating emotionally-aligned background music for silent videos using multimodal analysis and hybrid neural networks.
- 🧠 Multimodal AI Analysis: Combines CLIP-based video understanding with text descriptions
- 🎯 Emotion-Driven Generation: Uses Russell's Circumplex Model for precise emotional mapping
- 🎼 Hybrid Architecture: Transformer + LSTM for both musical structure and expressiveness
- 🎵 Multi-Instrument Support: Generate complete orchestral arrangements
- ⚡ Real-Time Processing: Stream generation for immediate feedback
- 📊 Comprehensive Evaluation: Quality metrics and emotion alignment scoring
- 🌐 Modern Web Interface: React/Next.js frontend with real-time updates
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Multimodal Transformer Encoder
- Processes video semantic features (CLIP)
- Analyzes emotion patterns
- Tracks motion and scene changes
- Integrates text descriptions
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Chord Progression Transformer
- Generates harmonic structure
- Maintains musical coherence
- Supports various musical styles
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Expressive LSTM Decoder
- Adds note-level details
- Controls dynamics and articulation
- Manages rhythmic patterns
Backend:
- FastAPI for high-performance API
- PyTorch for deep learning
- Transformers (CLIP) for multimodal understanding
- Pretty MIDI for music generation
- Redis for caching and session management
Frontend:
- Next.js with TypeScript
- Tailwind CSS for styling
- D3.js for visualizations
- WebSocket for real-time updates
Infrastructure:
- Docker containerization
- Nginx reverse proxy
- PostgreSQL database
- Prometheus monitoring