1. Introduction to AI Music Generation
AI-driven music generation involves the use of machine learning algorithms and deep neural networks to compose, arrange, and enhance musical compositions. With the rapid advancements in artificial intelligence, systems can now generate melodies, harmonies, and full orchestral compositions based on input parameters or learned musical structures.
Key technologies used in AI music generation include:
- Neural Networks – Used for pattern recognition and generating complex musical sequences.
- Generative Adversarial Networks (GANs) – Applied to create unique and expressive musical pieces.
- Recurrent Neural Networks (RNNs) – Commonly used for sequential data processing, ideal for melody and rhythm generation.
