SingVisio: Visual Analytics of Diffusion Model for Singing Voice Conversion

TL;DR

SingVisio is an interactive visual analysis system that explains and visualizes the diffusion process in singing voice conversion, aiding understanding and comparison of different conversion conditions.

Contribution

The paper introduces SingVisio, a novel visual analytics tool that enhances interpretability and comparison of diffusion models in singing voice conversion.

Findings

Effective visualization of the diffusion process

Facilitates comparison of different conversion conditions

Improves understanding and explainability of singing voice conversion

Abstract

In this study, we present SingVisio, an interactive visual analysis system that aims to explain the diffusion model used in singing voice conversion. SingVisio provides a visual display of the generation process in diffusion models, showcasing the step-by-step denoising of the noisy spectrum and its transformation into a clean spectrum that captures the desired singer's timbre. The system also facilitates side-by-side comparisons of different conditions, such as source content, melody, and target timbre, highlighting the impact of these conditions on the diffusion generation process and resulting conversions. Through comparative and comprehensive evaluations, SingVisio demonstrates its effectiveness in terms of system design, functionality, explainability, and user-friendliness. It offers users of various backgrounds valuable learning experiences and insights into the diffusion model for singing voice conversion.