On the variability of room acoustical parameters: Reproducibility and statistical validity

Pelorson, Xavier; Vian, Jean‐Paul; Polack, Jean‐Dominique

doi:10.1016/0003-682x(92)90002-a

Cited by 34 publications

(33 citation statements)

References 7 publications

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“…Within-room and between-room variations for five relatively uncorrelated parameters were reported in [6]. Early decay time (EDT) and reverberation time (T60) are the most promising as they do not require a special microphone arrangement nor do they depend on the source directivity and orientation.…”

Section: Room Acoustics Parametersmentioning

confidence: 99%

Roomprints for forensic audio applications

Moore

Brookes

Naylor

2013

2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

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A roomprint is a quantifiable description of an acoustic environment which can be measured under controlled conditions and estimated from a monophonic recording made in that space. We here identify the properties required of a roomprint in forensic audio applications and review the observable characteristics of a room that, when extracted from recordings, could form the basis of a roomprint. Frequency-dependent reverberation time is investigated as a promising characteristic and used in a room identification experiment giving correct identification in 96% of trials.

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Section: Room Acoustics Parametersmentioning

confidence: 99%

Roomprints for forensic audio applications

Moore

Brookes

Naylor

2013

2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

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“…Early works using a similar technique with physical and subjective measurements include Yamaguchi [21], and Yamamoto and Suzuki [6]. In [22], the authors made an interesting study of the statistical validity of the parameters and the use of parameters to characterise different halls. In particular, the authors showed how the hypothesis of normal distribution for parameters failed (see [23] for a recent work).…”

Section: Introductionmentioning

confidence: 99%

A Factor Analysis Approach to Determining a Small Number of Parameters for Characterising Halls

Jordá¹,

Pérez²,

Faus³

et al. 2011

Acta Acustica united with Acustica

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Abstract. Specialist bibliographies reveal that there are many parameters for fully describing the acoustics of a hall. Are all of these parameters absolutely necessary? Although hall acoustics is a complex discipline, we can nevertheless see that many parameters measure aspects that are very similar to musical perception. Our aim in this paper is to use factor analysis to find a small number of statistically independent parameters that will enable musical performance halls to be characterised using just a few parameters. At the same time, we aim to identify other parameters that will be useful to researchers as part of a lineal combination. To achieve this, we have measured impulse responses in 17 halls and determined the most common 18 parameters. By using factor analysis, we have identified the three key factors that satisfy the required characteristics. This result confirms those obtained in an earlier study [1] of nine halls. The factors obtained strongly correlate with other classic parameters. Factor 1 correlates with reverberation time; Factor 2 correlates with the objective parameters for the impression of space; and Factor 3 correlates with parameters of strength. This last factor also correlates strongly with objective parameters for listener envelopment (LEV) [2].

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“…However, nothing is said about the onset of the RIR, implicitly assuming that this is a straightforward task: Each acoustician, or software, can have its own method. In order to find the onset time, the simplest ways that come first to mind would be (1) to determine it manually, i.e., visually on the waveform; or (2) to consider that the RIR always starts by direct sound, which often has the largest amplitude of the signal. Measurements in a concert hall typically lead to 100 RIRs, so that the first method becomes easily cumbersome.…”

Section: Introductionmentioning

confidence: 99%

“…We do not attempt to discuss the relevance of such indices, be they orthogonal or not. This has already been done, for instance, by Pelorson et al 2 We do attempt, however, to propose and evaluate a number of different automatic onset detection methods for their precision, robustness, and complexity. This is the second goal of this letter.…”

Section: Introductionmentioning

confidence: 99%

Finding the onset of a room impulse response: Straightforward?

Defrance

Daudet

Polack

2008

The Journal of the Acoustical Society of America

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This letter deals with precision issues in the determination of the timing of the room impulse responses (RIRs) onset. First, it is shown that while errors of onset timing estimation do not have that much effect on temporal indices, an erroneous onset estimation leads to significant differences in energetic and statistic acoustical indices. Twelve automatic onset detection methods are compared, in terms of precision, robustness, and complexity. Experimental validation made on a set of 100 RIRs provides good evidence in favor of spectral and/or energetic methods, according to the type of sound source.

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On the variability of room acoustical parameters: Reproducibility and statistical validity

Cited by 34 publications

References 7 publications

Roomprints for forensic audio applications

Roomprints for forensic audio applications

A Factor Analysis Approach to Determining a Small Number of Parameters for Characterising Halls

Finding the onset of a room impulse response: Straightforward?

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