Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jonathan Botts
dblp:124/4923
· DBLP profile ↗
4ranked-venue papers
3as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
3 papers |
Audio and music processing · 68% Image and video processing · 32% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing › room acoustics
room acoustics simulation |
0.2 | 1 | 2016 | Finite Volume Time Domain Room Acoustics Simulation under General Impedance Boundary Conditions · IEEE ACM Trans. Audio Speech Lang. Process. 2016 |
Audio and music processing
room acoustics |
0.2 | 1 | 2014 | Spectral and Pseudospectral Properties of Finite Difference Models Used in Audio and Room Acoustics · IEEE ACM Trans. Audio Speech Lang. Process. 2014 |
Audio and music processing
acoustic signal processing |
0.2 | 1 | 2013 | Design of IIR Filters With Bayesian Model Selection and Parameter Estimation · IEEE Trans. Speech Audio Process. 2013 |
Image and video processing
filter design |
0.2 | 1 | 2013 | Design of IIR Filters With Bayesian Model Selection and Parameter Estimation · IEEE Trans. Speech Audio Process. 2013 |
Image and video processing › filter design
IIR filter design |
0.2 | 1 | 2013 | Design of IIR Filters With Bayesian Model Selection and Parameter Estimation · IEEE Trans. Speech Audio Process. 2013 |
Audio and music processing › spatial audio
head-related transfer function modeling |
0.0 | 1 | 2013 | Design of IIR Filters With Bayesian Model Selection and Parameter Estimation · IEEE Trans. Speech Audio Process. 2013 |
Audio and music processing
spatial audio |
0.0 | 1 | 2013 | Design of IIR Filters With Bayesian Model Selection and Parameter Estimation · IEEE Trans. Speech Audio Process. 2013 |
Methods — techniques the papers use, named apart from their topics
stability analysis · 0.2finite volume time domain · 0.2energy method · 0.2von neumann analysis · 0.2spectral decomposition · 0.2pseudospectra · 0.2bayesian parameter estimation · 0.2bayesian model selection · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Finite Volume Time Domain Room Acoustics Simulation under General Impedance Boundary ConditionsabstractIn room acoustics simulation and virtualization applications, accurate wall termination is a perceptually crucial feature. It is particularly important in the setting of wave-based modeling of 3D spaces, using methods such as the finite difference time domain method or finite volume time domain method. In this paper, general locally reactive impedance boundary conditions are incorporated into a 3D finite volume time domain formulation, which may be specialized to the various types of finite difference time domain method under fitted boundary termination. Energy methods are used to determine stability conditions for general room geometries, under a large family of nontrivial wall impedances, for finite volume methods over unstructured grids. Simulation results are presented, highlighting in particular the need for unstructured or fitted cells at the room boundary in the case of the accurate simulation of frequency-dependent room mode decay times. Stefan Bilbao, Brian Hamilton, Jonathan Botts, Lauri Savioja |
IEEE ACM Trans. Audio Speech Lang. Process. | 3 |
| 2014 | Spectral and Pseudospectral Properties of Finite Difference Models Used in Audio and Room AcousticsabstractFinite difference solutions to the wave equation are simple and flexible modeling tools for approximating physical systems in audio and room acoustics. Each model is characterized by a matrix operator and the time-stepping solution by a sequence of powers of the matrix. Spectral decomposition of representative matrices provide some practical insight into solution behavior and in some cases stability. In addition to computed eigenvalue spectra, pseudospectra provide a description of numerical amplification due to rounding errors in floating point arithmetic. The matrix analysis also shows that certain boundary implementations in non-cuboid geometries can be unstable despite satisfying conditions derived from von Neumann and normal mode analyses. Jonathan Botts, Lauri Savioja |
IEEE ACM Trans. Audio Speech Lang. Process. | 1 |
| 2013 | Integrating finite difference schemes for scalar and vector wave equationsabstractRoom acoustic simulation is the process of generating approximate solutions to either the linearized Euler equations or the scalar wave equation. As for the continuous equations, the discrete approximations of both are equivalent. The vector formulation is less efficient, but it can inform several unexploited features of the scalar formulation. This paper first demonstrates the equivalence of the two schemes and explores how the vector formulation may be integrated into the more efficient scalar formulation to produce local velocity estimates and velocity sources on the pressure grid. Jonathan Botts, Lauri Savioja |
ICASSP | 1 |
| 2013 | Design of IIR Filters With Bayesian Model Selection and Parameter EstimationabstractBayesian model selection and parameter estimation are used to address the problem of choosing the most concise filter order for a given application while simultaneously determining the associated filter coefficients. This approach is validated against simulated data and used to generate pole-zero representations of head-related transfer functions. Jonathan Botts, José Escolano, Ning Xiang |
IEEE Trans. Speech Audio Process. | 1 |