Author(s)

Yuanxin Gan

Corresponding Author

Yuanxin Gan

Abstract

A pioneering two-phase music creation framework integrates Variational Autoencoders (VAE) and Conditional Diffusion Models (CDM). This model is designed to produce music segments akin to the initial input, while simultaneously fostering diversity and creativity via mechanisms that govern emotional expression and attention modulation. In the initial phase, the VAE processes the input music, distilling its fundamental attributes and the influence of attention into a compact, low-dimensional latent representation. This compression allows for a more efficient handling of the music's essence.The subsequent phase employs the diffusion model to fabricate novel music fragments through a sequential noise reduction procedure. This ensures that the synthesized music resonates with the original in terms of emotional tone, structural coherence, and attention management, yet introduces a balanced level of novelty and variety.Furthermore, the system includes an adaptive attention regulation component, which adjusts dynamically to the attentional dynamics within the music, enabling the generated compositions to preserve their structural soundness and musical integrity while profoundly impacting the listener's emotional engagement and focus.

Keywords

Music generation, Variational Autoencoder (VAE), Diffusion model, Attention regulation, Music restoration, Adaptive attention mechanism