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Alex Southern

dblp:119/7142 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1

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
2 papers
Audio and music processing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Audio and music processing
room acoustics
0.322013
Room Impulse Response Synthesis and Validation Using a Hybrid Acoustic Model · IEEE Trans. Speech Audio Process. 2013
Spatial Encoding of Finite Difference Time Domain Acoustic Models for Auralization · IEEE Trans. Speech Audio Process. 2012
Audio and music processing › acoustic simulation
room impulse response synthesis
0.322013
Room Impulse Response Synthesis and Validation Using a Hybrid Acoustic Model · IEEE Trans. Speech Audio Process. 2013
Spatial Encoding of Finite Difference Time Domain Acoustic Models for Auralization · IEEE Trans. Speech Audio Process. 2012
Audio and music processing › acoustic simulation
auralization
0.112012
Spatial Encoding of Finite Difference Time Domain Acoustic Models for Auralization · IEEE Trans. Speech Audio Process. 2012

Methods — techniques the papers use, named apart from their topics

wave-based modeling · 0.2geometric acoustics · 0.2finite-difference time-domain · 0.1differential microphone techniques · 0.1
YearPublicationVenuePosition
2013 Finite-difference time domain method source calibration for hybrid acoustics modeling
abstract
Finite-difference time domain methods are commonly used for acoustics modeling of enclosed geometries. For large spaces and high frequencies, the computational requirements become prohibitive in practical use. Thus, geometric acoustics algorithms are used in those cases. The results of these two classes of algorithm can be combined to model the full acoustic response. To allow direct mixing of the results, the source strengths should be calibrated. This paper derives calibration factors for various finite-difference time domain methods. It is shown that the modelled acoustics responses can then be easily combined to synthesise wide-band hybrid responses.
Samuel Siltanen, Alex Southern, Lauri Savioja
ICASSP2
2013 Room Impulse Response Synthesis and Validation Using a Hybrid Acoustic Model
abstract
Synthesizing the room impulse response (RIR) of an arbitrary enclosure may be performed using a number of alternative acoustic modeling methods, each with their own particular advantages and limitations. This article is concerned with obtaining a hybrid RIR derived from both wave and geometric-acoustics based methods, optimized for use across different regions of time or frequency. Consideration is given to how such RIRs can be matched across modeling domains in terms of both amplitude and boundary behavior and the approach is verified using a number of standardised case studies.
Alex Southern, Samuel Siltanen, Damian T. Murphy, Lauri Savioja
IEEE Trans. Speech Audio Process.1
2012 Spatial Encoding of Finite Difference Time Domain Acoustic Models for Auralization
abstract
A single room impulse response can reveal information about the acoustics of a given space in both objective, and, when used for auralization, subjective terms. However, for additional spatial information, or more accurate and perceptually convincing auralization, multiple impulse responses are needed. Higher order Ambisonics is a robust means of capturing the spatial qualities of an acoustic space over multiple channels for decoding and rendering over many possible speaker layouts. A method for obtaining$N$th-order Ambisonic impulse responses from a room acoustic model, based on lower orders using differential microphone techniques is presented. This is tested using a third-order encoding of a 2-D finite difference time domain room acoustic simulation based on multiple circular arrays of receivers. Accurate channel directional profiles are obtained and results are verified in a series of listening tests comparing the localization of a sound source placed within the given simulation to the same source encoded directly. This generic encoding scheme can be applied to any room acoustic simulation technique where it is possible to obtain impulse responses across multiple receiver positions. Although the proposed method encompasses horizontal encoding only, it can also be applied directly in 3-D simulations where height information is not required in the final auralization.
Alex Southern, Damian T. Murphy, Lauri Savioja
IEEE Trans. Speech Audio Process.1