Automated composition of Galician Xota-tuning RNN-based composers for specific musical styles using deep Q-learning.

ABSTRACT: Music composition is a complex field that is difficult to automate because the computational definition of what is good or aesthetically pleasing is vague and subjective. Many neural network-based methods have been applied in the past, but they lack consistency and in most cases, their outputs fail to impress. The most common issues include excessive repetition and a lack of style and structure, which are hallmarks of artificial compositions. In this project, we build on a model created by Magenta-the RL Tuner-extending it to emulate a specific musical genre-the Galician Xota. To do this, we design a new rule-set containing rules that the composition should follow to adhere to this style. We then implement them using reward functions, which are used to train the Deep Q Network that

SUBMITTER: Mira R 

PROVIDER: S-EPMC10280473 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature