42 citations · 92 across the 14 of their papers we have counts for
14 papers
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…
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…
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…
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…
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…
Frequency Tracking Features for Data-Efficient Deep Siren Identification
Stefano Damiano, Thomas Dietzen, Toon van Waterschoot
The identification of siren sounds in urban soundscapes is a crucial safety aspect for smart vehicles and has been widely addressed by means of neural networks that ensure robustne…
Steered Response Power for Sound Source Localization: A Tutorial Review
Eric Grinstein, Elisa Tengan, Bilgesu Çakmak +5
In the last three decades, the Steered Response Power (SRP) method has been widely used for the task of Sound Source Localization (SSL), due to its satisfactory localization perfor…
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…
MYRiAD: A Multi-Array Room Acoustic Database
Thomas Dietzen, Randall Ali, Maja Taseska +1
In the development of acoustic signal processing algorithms, their evaluation in various acoustic environments is of utmost importance. In order to advance evaluation in realistic…
Speech enhancement using ego-noise references with a microphone array embedded in an unmanned aerial vehicle
Elisa Tengan, Thomas Dietzen, Santiago Ruiz +3
A method is proposed for performing speech enhancement using ego-noise references with a microphone array embedded in an unmanned aerial vehicle (UAV). The ego-noise reference sign…
Low-Complexity Steered Response Power Mapping based on Nyquist-Shannon Sampling
Thomas Dietzen, Enzo De Sena, Toon van Waterschoot
The steered response power (SRP) approach to acoustic source localization computes a map of the acoustic scene from the frequency-weighted output power of a beamformer steered towa…
Instantaneous PSD Estimation for Speech Enhancement based on Generalized Principal Components
Thomas Dietzen, Marc Moonen, Toon van Waterschoot
Power spectral density (PSD) estimates of various microphone signal components are essential to many speech enhancement procedures. As speech is highly non-nonstationary, performan…
Integrated sidelobe cancellation and linear prediction Kalman filter for joint multi-microphone speech dereverberation, interfering speech cancellation, and noise reduction
T. Dietzen, S. Doclo, M. Moonen +1
In multi-microphone speech enhancement, reverberation as well as additive noise and/or interfering speech are commonly suppressed by deconvolution and spatial filtering, e.g., usin…
Square root-based multi-source early PSD estimation and recursive RETF update in reverberant environments by means of the orthogonal Procrustes problem
T. Dietzen, S. Doclo, M. Moonen +1
Multi-channel short-time Fourier transform (STFT) domain-based processing of reverberant microphone signals commonly relies on power-spectral-density (PSD) estimates of early sourc…