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Computer Science
Artificial Intelligence
Generative AI
1. Introduction to Generative AI
2. Mathematical and Technical Foundations
3. Machine Learning Fundamentals
4. Core Generative Model Architectures
5. Transformer Architecture and Language Models
6. Text Generation Applications
7. Image and Visual Generation
8. Audio and Speech Generation
9. Development Lifecycle and Best Practices
10. Practical Implementation Tools
11. Ethical Considerations and Responsible AI
12. Legal and Regulatory Landscape
13. Economic and Social Impact
14. Future Directions and Emerging Trends
Audio and Speech Generation
Speech Synthesis
Text-to-Speech Systems
Concatenative TTS
Parametric TTS
Neural TTS
Neural Vocoding
WaveNet Architecture
WaveGlow Models
HiFi-GAN Vocoders
Voice Cloning
Speaker Adaptation
Few-Shot Voice Cloning
Zero-Shot Voice Synthesis
Music Generation
Symbolic Music Generation
MIDI Generation
Music Theory Integration
Chord Progression Models
Audio Waveform Generation
Raw Audio Models
Spectrogram-Based Models
Style and Genre Control
Genre Transfer
Instrument Synthesis
Compositional Control
Audio Processing Applications
Sound Effect Generation
Environmental Sounds
Foley Audio
Game Audio Synthesis
Audio Enhancement
Noise Reduction
Audio Restoration
Bandwidth Extension
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7. Image and Visual Generation
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9. Development Lifecycle and Best Practices