This paper proposes EscFOA, a framework that uses geometry-aware spatial audio to enhance immersive educational environments for visually impaired learners, outperforming conventional audio methods.

This paper conducts subjective assessments to evaluate the preference and spatial audio attributes of headrest-integrated speakers for immersive audio scenarios in automobiles.

EigeNet introduces a geometry-informed multi-modal Transformer framework to achieve state-of-the-art few-shot novel view Room Impulse Response (RIR) prediction by effectively integrating spatial geome…

This paper proposes AT2SELD framework to extend pretrained GP-AT models for spatially grounded Sound Event Localization and Detection using spectral FOA descriptors, NAS, and calibration.

A new framework called Geo-DConv is proposed to make multi-channel speech enhancement systems adaptable to diverse microphone array geometries by leveraging microphone coordinates.

This paper presents ADAC, a compiler that converts trained differentiable audio models into efficient FAUST code for real-time audio effects.

This paper proposes a physics-guided framework, PathRIR, for fast room impulse response simulation using image-source-method, preserving geometric structure while pruning acoustically insignificant pa…

This paper validates a Bayesian sound localisation model using statistical methods and compares four HRTF template interpolation methods.

The paper presents aria, a dependency-free runtime for generating text-to-music using Stable Audio 3 on commodity hardware, with a focus on quantization for memory savings and activation steering.

The paper introduces an agentic soundscape construction framework for controllable compositional audio generation, which makes explicit the scene planning, source selection, temporal layout, and rende…