Spatial Encoding of Finite Difference Time Domain Acoustic Models for Auralization

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 need...

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Veröffentlicht in:IEEE transactions on audio, speech, and language processing speech, and language processing, 2012-11, Vol.20 (9), p.2420-2432
Hauptverfasser: Southern, Alex, Murphy, Damian T., Savioja, Lauri
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creator Southern, Alex
Murphy, Damian T.
Savioja, Lauri
description 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.
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subjects Acoustic
Acoustics
Applied sciences
auralization
Coding, codes
Encoding
Exact sciences and technology
FDTD
Finite difference methods
Information, signal and communications theory
Mathematical model
Microphones
Miscellaneous
Receivers
Signal and communications theory
Signal processing
spatial encoding
Telecommunications and information theory
Time domain analysis
title Spatial Encoding of Finite Difference Time Domain Acoustic Models for Auralization
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