Auralization of a car pass-by inside an urban canyon using measured impulse responses

Georgiou, Fotis; Hornikx, Maarten; Kohlrausch, AG Armin

doi:10.1016/j.apacoust.2021.108291

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…For instance, the position of the microphone and loudspeakers may vary due to vibrations, or the propagation paths can be altered due to variations in the air caused by temperature and humidity fluctuations or air movement (e.g., due to ventilation). 17,31,[40][41][42][43] Unlike background noise, the measurement variations impact the impulse response h directly such that the signal model is…”

Section: Transfer-function Variationmentioning

confidence: 99%

Robust selection of clean swept-sine measurements in non-stationary noise

Prawda

Schlecht

Välimäki

2022

The Journal of the Acoustical Society of America

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The exponential sine sweep is a commonly used excitation signal in acoustic measurements, which, however, is susceptible to non-stationary noise. This paper shows how to detect contaminated sweep signals and select clean ones based on a procedure called the rule of two, which analyzes repeated sweep measurements. A high correlation between a pair of signals indicates that they are devoid of non-stationary noise. The detection threshold for the correlation is determined based on the energy of background noise and time variance. Not being disturbed by non-stationary events, a median-based method is suggested for reliable background noise energy estimation. The proposed method is shown to detect reliably 95% of impulsive noises and 75% of dropouts in the synthesized sweeps. Tested on a large set of measurements and compared with a previous method, the proposed method is shown to be more robust in detecting various non-stationary disturbances, improving the detection rate by 30 percentage points. The rule-of-two procedure increases the robustness of practical acoustic and audio measurements.

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Section: Transfer-function Variationmentioning

confidence: 99%

Robust selection of clean swept-sine measurements in non-stationary noise

Prawda

Schlecht

Välimäki

2022

The Journal of the Acoustical Society of America

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“…Time variance is the inherent contamination in room impulse response (RIR) measurements, occurring due to air movement and changes in the atmospheric conditions, such as temperature and humidity [1][2][3][4][5][6][7][8]. Those fluctuations influence the speed of sound during a measurement, which in consequence impacts the time-of-arrival (TOA) of reflections, causing each RIR to be time-stretched or time-compressed in comparison to the others in a series of repeated measurements [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Time Variance in Measured Room Impulse Responses

Prawda,

Schlecht,

Välimäki

2022

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023

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Time variance is unavoidable in room impulse response (RIR) measurements, as the atmospheric conditions fluctuations and air movement prevent any room from being perfectly steady. However, the effect of such changes on RIRs has received little attention so far, although it is known to cause energy loss when RIRs are averaged to enhance their signal-to-noise ratio. In this work, we focus on the influence of spatio-temporal fluctuations in the speed of sound on RIR energy loss. We introduce a new approach to examining the relationship between time-variance-related energy loss of averaged RIRs and the decrease in their cross-correlation over time. We show that even when the measurements are compensated for the global changes in the speed of sound, the small fluctuations still contribute to the RIR dissimilarity. The results also indicate that the RIRs correlation decreases with the growing time separation between measurements. It shows that the short-term running cross-correlation is a good metric for estimating the time-variance-related energy loss in RIRs. The research presented in this work is a step towards more robust acoustic measurements and compensation of time-variance-related artifacts in measured signals.

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