We propose a mesh-based neural network (MESH2IR) to generate acoustic impulse
responses (IRs) for indoor 3D scenes represented using a mesh. The IRs are used to create …

Abstract Objects make unique sounds under different perturbations, environment conditions,
and poses relative to the listener. While prior works have modeled impact sounds and sound …

The harmonious integration of music with dance movements is pivotal in vividly conveying
the artistic essence of dance. This alignment also significantly elevates the immersive quality …

The seamless integration of music with dance movements is essential for communicating the
artistic intent of a dance piece. This alignment also significantly improves the immersive …

Physical models of rigid bodies are used for sound synthesis in applications from virtual
environments to music production. Traditional methods, such as modal synthesis, often rely …

While significant advancements have been made in music generation and differentiable
sound synthesis within machine learning and computer audition, the simulation of …

Accurately estimating and simulating the physical properties of objects from real-world
sound recordings is of great practical importance in the fields of vision, graphics, and …

In this work, we propose a method for the controllable synthesis of real-time contact sounds
using neural resonators. Previous works have used physically inspired statistical methods …

Sound Effect (SFX) generation, primarily aims to automatically produce sound waves for
sounding visual objects in images or videos. Rather than learning an automatic solution to …

Sound plays a crucial role in enhancing user experience and immersiveness in Augmented
Reality (AR). However, current platforms lack support for AR sound authoring due to limited …