Compose Diverse, Pleasant Music with Advanced AI
System and Method for Automatically Composing Music Using Approaches of Generative Adversarial Network and Adversarial Inverse Reinforcement Learning Algorithm
Tags: National Tsing Hua University, Taiwan, Computing Technology
This invention discloses an automatic music composition system utilizing adversarial generative networks and inverse reinforcement learning. It features music databases, feature extraction, and three computing modules for creating music that is pleasant and closely mimics human compositions. The system employs a long short-term memory neural network with a bi-axial architecture for analyzing music features. It generates music by optimizing note reward functions through advanced learning algorithms. This innovation can enhance music production, making it accessible and tailored to various genres and preferences.
IP Type or Form Factor: Patent Granted; Process & Method; Software & Algorithm
TRL: Not specified
Industry or Tech Area: Computing Architecture; Big Data Analytics & Simulations
