Bayesian decay time estimation in a reverberation chamber for absorption measurements

Balint, Jamilla; Muralter, Florian; Nolan, Mélanie; Jeong, Cheol‐Ho

doi:10.1121/1.5125132

Cited by 17 publications

(24 citation statements)

References 32 publications

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“…For example, the reverberation time can be determined by estimating the parameter T 1 for an EDF model with K = 1. Decay models of higher order have successfully been used to measure the absorption coefficients of materials 16 or characterize the sound decay of coupled spaces 17,18 .…”

Section: Problem Formulationmentioning

confidence: 99%

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Neural network for multi-exponential sound energy decay analysis

Götz,

Pérez,

Schlecht

et al. 2022

Preprint

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An established model for sound energy decay functions (EDFs) is the superposition of multiple exponentials and a noise term. This work proposes a neural-network-based approach for estimating the model parameters from EDFs. The network is trained on synthetic EDFs and evaluated on two large datasets of over 20 000 EDF measurements conducted in various acoustic environments. The evaluation shows that the proposed neural network architecture robustly estimates the model parameters from large datasets of measured EDFs, while being lightweight and computationally efficient. An implementation of the proposed neural network is publicly available.

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Section: Problem Formulationmentioning

confidence: 99%

“…The Bayesian formulation can also determine the most probable model order K given the measured EDF 19 . Numerous works have advanced the approach by investigating more accurate and efficient algorithms for estimating the parameters or determining the model order 16,19,20 .…”

Section: A Sound Energy Decay Analysismentioning

confidence: 99%

Neural network for multi-exponential sound energy decay analysis

Götz,

Pérez,

Schlecht

et al. 2022

Preprint

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“…Furthermore, the energy decay curve (EDC) may be composed of multiple decaying exponential slopes at nonidentical decay rates. Multi-slope decays are used for quantifying complex acoustic phenomena, such as room coupling or non-uniform absorptive material distributions [8,24]. Fig.…”

Section: Anisotropic Multi-slope Decay Srirmentioning

confidence: 99%

Resynthesis of Spatial Room Impulse Response Tails With Anisotropic Multi-Slope Decays

Hold¹,

McKenzie²,

Götz³

et al. 2022

J. Audio Eng. Soc.

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Spatial room impulse responses (SRIRs) capture room acoustics with directional information. SRIRs measured in coupled rooms and spaces with non-uniform absorption distribution may exhibit anisotropic reverberation decays and multiple decay slopes. However, noisy measurements with low signal-to-noise ratios pose issues in analysis and reproduction in practice. This paper presents a method for resynthesis of the late decay of anisotropic SRIRs, effectively removing noise from SRIR measurements. The method accounts for both multi-slope decays and directional reverberation. A spherical filter bank extracts directionally constrained signals from Ambisonic input, which are then analyzed and parameterized in terms of multiple exponential decays and a noise floor. The noisy late reverberation is then resynthesized from the estimated parameters using modal synthesis, and the restored SRIR is reconstructed as Ambisonic signals. The method is evaluated both numerically and perceptually, which shows that SRIRs can be denoised with minimal error as long as parts of the decay slope are above the noise level, with signal-to-noise ratios as low as 40 dB in the presented experiment. The method can be used to increase the perceived spatial audio quality of noise-impaired SRIRs.

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“…Decay models consisting of multiple exponentials and a noise term are frequently used to model sound decays in coupled rooms and geometries with non-uniform absorption material distributions [15], [37], [54]. In this paper, we use the previously elaborated CDP to extend a well-established multiexponential decay model [15] to account for different sourcereceiver configurations.…”

Section: A the Common-slope Modelmentioning

confidence: 99%

Common-slope modeling of late reverberation

Götz¹,

Schlecht²,

Pulkki³

2022

Preprint

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<p>The decaying sound field in rooms is typically described in terms of energy decay functions (EDFs). Late reverberation can deviate considerably from the ideal diffuse field, for example, in scenes with multiple connected rooms or non-uniform absorption material distributions. This paper proposes the common-slope model of late reverberation. The model can be used to describe spatial and directional late reverberation variations as linear combinations of exponential decays with fixed decay times. Its fundamental idea is to determine a set of common decay times that is representative of multiple EDFs. Consequently, all spatial and directional EDF variations are described solely with amplitude changes of the respective decaying exponentials. After deriving the common-slope model, we explore different approaches for determining the common decay times for large EDF sets, whose EDFs describe different source-receiver configurations of the same environment. Among the presented approaches, the k-means clustering of decay times is the most general. Our evaluation shows that the common-slope model introduces only a small error between the modeled and the true EDF, although the common-slope model is considerably more compact than the traditional multi-exponential model. Due to its compactness, the common-slope model yields interpretable room acoustic analysis results. The common-slope model has potential applications in all fields relying on late reverberation models, such as source separation, dereverberation, echo cancellation, and parametric spatial audio rendering.</p>

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Bayesian decay time estimation in a reverberation chamber for absorption measurements

Cited by 17 publications

References 32 publications

Neural network for multi-exponential sound energy decay analysis

Neural network for multi-exponential sound energy decay analysis

Resynthesis of Spatial Room Impulse Response Tails With Anisotropic Multi-Slope Decays

Common-slope modeling of late reverberation

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