activity
20242026
collaborators

6 papers

eess.AS2026

A state-space representation of the boundary integral equation for room acoustic modelling

Randall Ali, Thomas Dietzen, Matteo Scerbo +2

We introduce a new framework for room acoustics modelling based on a state-space model of the boundary integral equation representing the sound field in a room. Whereas state-space…

eess.AS2026

The trajectoRIR Database: Room Acoustic Recordings Along a Trajectory of Moving Microphones

Stefano Damiano, Kathleen MacWilliam, Valerio Lorenzoni +2

Data availability is essential in the development of acoustic signal processing algorithms, especially when it comes to data-driven approaches that demand large and diverse trainin…

eess.AS2025

Importance-Weighted Domain Adaptation for Sound Source Tracking

Bingxiang Zhong, Thomas Dietzen

In recent years, deep learning has significantly advanced sound source localization (SSL). However, training such models requires large labeled datasets, and real recordings are co…

eess.AS2025

Tracking of Spatially Dynamic Room Impulse Responses Along Locally Linearized Trajectories

Kathleen MacWilliam, Thomas Dietzen, Toon van Waterschoot

Measuring room impulse responses (RIRs) at multiple spatial points is a time-consuming task, while simulations require detailed knowledge of the room's acoustic environment. In pri…

eess.AS2024

Scalable-Complexity Steered Response Power Mapping based on Low-Rank and Sparse Interpolation

Thomas Dietzen, Enzo De Sena, Toon van Waterschoot

The steered response power (SRP) is a popular approach to compute a map of the acoustic scene, typically used for acoustic source localization. The SRP map is obtained as the frequ…

eess.AS2024

State-Space Estimation of Spatially Dynamic Room Impulse Responses using a Room Acoustic Model-based Prior

Kathleen MacWilliam, Thomas Dietzen, Randall Ali +1

The estimation of room impulse responses (RIRs) between static loudspeaker and microphone locations can be done using a number of well-established measurement and inference procedu…