Finding the onset of a room impulse response: Straightforward?

Defrance, Guillaume; Daudet, Laurent; Polack, Jean‐Dominique

doi:10.1121/1.2960935

Cited by 14 publications

(11 citation statements)

References 5 publications

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“…Table III shows the derivedm inimum required decay range INR max − ΔL noise and its estimator INR for different accuracyrequirements shown as a fraction of the JND. It should be noted that adecay range < 20 dB may be unrealistic as it is still difficult to findthe impulse response starting point [22].…”

Section: Resultsmentioning

confidence: 99%

Measuring Room Impulse Responses: Impact of the Decay Range on Derived Room Acoustic Parameters

Hak

Wenmaekers²,

Luxemburg

2012

Acta Acustica united with Acustica

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SummaryStandards for measuring room acoustic parameters, such as ISO 3382, in manyc ases do not, or only partially, specify the requirements that ameasured impulse response should meet to allowcalculation of acertain parameter.A mong other things, it is often left to the user of the standard to findapractical interpretation of the time infinity that appears in the theoretical formulas defining the parameters. Hence, the parameter value may depend on the decay range and measurement time. Under the most adverse conditions this may lead to variations in the calculated parameter values larger than the Just Noticeable Difference (JND).U sing the suggested ISO 3382 'infinite' integration time limits for some parameters and otherwise the crosspoint of decay line and noise level as the 'infinite' integration time limit for the other parameters, the influence of the decay range on the calculated parameter values is investigated. This is done for all ISO 3382-1 parameters:

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Section: Resultsmentioning

confidence: 99%

Measuring Room Impulse Responses: Impact of the Decay Range on Derived Room Acoustic Parameters

Hak

Wenmaekers²,

Luxemburg

2012

Acta Acustica united with Acustica

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“…One alternative would be to detect the onsets of the sounds [21,22]. The advantage of this is that the line of sight between the source and the microphone is not required, however, finding the onsets is not straightforward and can be very sensitive to additive noise [22]. Instead, we measure the TOAs using peak picking as follows.…”

Section: Toa Extractionmentioning

confidence: 99%

Calibration of distributed sound acquisition systems using TOA measurements from a moving acoustic source

Gaubitch

Kleijn

Heusdens

2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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We present a method for calibrating a distributed microphone array using time-of-arrival (TOA) measurements. The calibration encompasses localization and gain equalization of the microphones, which are both important in applications such as beamforming. The availability of accurate TOA measurements between the microphones and a set of spatially distributed acoustic events is pivotal to the calibration task. We propose to use a moving acoustic source emitting a calibration signal at known intervals. We then show that the TOAs and the observed signals can be used to estimate the gain differences between microphones in addition to the more established microphone localization. Finally, we provide experimental results with simulated and real measured data to demonstrate that our approach facilitates accurate TOA measurements and hence, accurate localization and gain equalization, even in reverberant and noisy conditions.

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“…Thus, Figure 3 indicates that a convenient SRR would be 20dB. Reasons of variations of acoustical indices can depend upon several factors [22]: the lack of reproducibility of the sound source, the microphone directivity and positioning, software parameters, and also the estimation of the onset of the RIR [23].…”

Section: Stopping Criterium -Finding An Appropriate Valuementioning

confidence: 99%

Using Matching Pursuit for Estimating Mixing Time Within Room Impulse Responses

Defrance¹,

Daudet²,

Polack³

2009

Acta Acustica united with Acustica

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In Room Acoustics, the quantity that fully describes the hall is a set of room impulse responses (RIRs), which are composed of the succession of arrivals (i.e., some sound rays which have undergone one or more reflections on their way from the source to the receiver). The mixing time is defined as the time it takes for initially adjacent sound rays to spread uniformly across the room. This paper proposes to investigate the temporal distribution of arrivals and the estimation of mixing time. A method based on maxima of correlations (Matching Pursuit) between the source impulse and the RIR allows to estimate in practice arrivals. This paper compares the cumulative distribution function of arrivals of experimental and synthesized RIRs (using a stochastic model). The mixing time is estimated when the arrival density becomes constant. The dependance of mixing time upon the distance source/receiver is investigated with measured and synthesized RIRs.

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Finding the onset of a room impulse response: Straightforward?

Cited by 14 publications

References 5 publications

Measuring Room Impulse Responses: Impact of the Decay Range on Derived Room Acoustic Parameters

Measuring Room Impulse Responses: Impact of the Decay Range on Derived Room Acoustic Parameters

Calibration of distributed sound acquisition systems using TOA measurements from a moving acoustic source

Using Matching Pursuit for Estimating Mixing Time Within Room Impulse Responses

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