Stylistic Composition of Melodies Based on a Brain-Inspired Spiking Neural Network.

ABSTRACT: Current neural network based algorithmic composition methods are very different compared to human brain's composition process, while the biological plausibility of composition and generative models are essential for the future of Artificial Intelligence. To explore this problem, this paper presents a spiking neural network based on the inspiration from brain structures and musical information processing mechanisms at multiple scales. Unlike previous methods, our model has three novel characteristics: (1) Inspired by brain structures, multiple brain regions with different cognitive functions, including musical memory and knowledge learning, are simulated and cooperated to generate stylistic melodies. A hierarchical neural network is constructed to formulate musical knowledge. (2) Biological

SUBMITTER: Liang Q 

PROVIDER: S-EPMC7991719 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature