UsefulLinks
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
8.
Audio and Speech Generation
8.1.
Speech Synthesis
8.1.1.
Text-to-Speech Systems
8.1.1.1.
Concatenative TTS
8.1.1.2.
Parametric TTS
8.1.1.3.
Neural TTS
8.1.2.
Neural Vocoding
8.1.2.1.
WaveNet Architecture
8.1.2.2.
WaveGlow Models
8.1.2.3.
HiFi-GAN Vocoders
8.1.3.
Voice Cloning
8.1.3.1.
Speaker Adaptation
8.1.3.2.
Few-Shot Voice Cloning
8.1.3.3.
Zero-Shot Voice Synthesis
8.2.
Music Generation
8.2.1.
Symbolic Music Generation
8.2.1.1.
MIDI Generation
8.2.1.2.
Music Theory Integration
8.2.1.3.
Chord Progression Models
8.2.2.
Audio Waveform Generation
8.2.2.1.
Raw Audio Models
8.2.2.2.
Spectrogram-Based Models
8.2.3.
Style and Genre Control
8.2.3.1.
Genre Transfer
8.2.3.2.
Instrument Synthesis
8.2.3.3.
Compositional Control
8.3.
Audio Processing Applications
8.3.1.
Sound Effect Generation
8.3.1.1.
Environmental Sounds
8.3.1.2.
Foley Audio
8.3.1.3.
Game Audio Synthesis
8.3.2.
Audio Enhancement
8.3.2.1.
Noise Reduction
8.3.2.2.
Audio Restoration
8.3.2.3.
Bandwidth Extension
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7. Image and Visual Generation
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9. Development Lifecycle and Best Practices