Exploring Variational Auto-Encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI

1 code implementation • 14 Nov 2023 • Nick Bryan-Kinns, Bingyuan Zhang, Songyan Zhao, Berker Banar

This paper contributes a systematic examination of the impact that different combinations of Variational Auto-Encoder models (MeasureVAE and AdversarialVAE), configurations of latent space in the AI model (from 4 to 256 latent dimensions), and training datasets (Irish folk, Turkish folk, Classical, and pop) have on music generation performance when 2 or 4 meaningful musical attributes are imposed on the generative model.

Attribute Music Generation