IEEE

MGU-V: A Deep Learning Approach for Lo-Fi Music Generation Using Variational Autoencoders With State-of-the-Art Performance on Combined MIDI Datasets

Abstract: Music generation presents a significant challenge within the realm of generative AI, encompassing diverse applications in music production, real-time composition, and other related fields.
IEEE

Quaternion Vector Quantized Variational Autoencoder

Abstract: Vector quantized variational autoencoders, as variants of variational autoencoders, effectively capture discrete representations by quantizing continuous latent spaces and are widely used in ...