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Validation of a Computer Simulation Environment for Room Acoustics Prediction

Olivier Warusfel, Federico Cruz-Barney

ICA 95, Trondheim (Norvège) 1995
Copyright © ICA 1995


Summary

The aim of this paper is to present some results on a validation campaign of a computer simulation environment developed at IRCAM. A brief description of its characteristics is made followed by the organization of the data base used for the validation. The paper points out validation steps concerning the directivity model of the source, the influence of grazing incidence over seat rows and the spatial distribution of the late energy.

Introduction

The acoustics laboratory at IRCAM has developed a computer simulation environment that combines various physical models of sound propagation such as specular reflections, diffuse reflections and diffraction. In 1991, a measurement campaign was undertaken by IRCAM in several concert halls and opera houses throughout Europe. This data base has been used to validate the performances of this environment on the basis of objective quantities such as energy-time curves and the temporal and spatial distribution of early reflections and late reverberation.

Description of the Computer Simulation Environment

The computer simulation environment developed at IRCAM, described in [Mal86][WJ92], combines different physical models of acoustic propagation to estimate the energy time curves at different receiver locations. The time sections of these curves are built via the following steps. The early energy distribution is estimated by the association of diffraction, plane wave propagation with specular reflections and diffused propagation. The diffraction model is used in case of direct sound geometrical masking. The plane wave propagation is simulated with a source image method up to second order reflections and a cone method for higher orders. The propagation of diffused energy between the different room boundaries and its imputation to receivers are computed according to the space discretisation of Kuttruf's integral equation [Kutt73]. Assuming an exponential decay of the reverberation, the reverberation time together with the spatial distribution of the late reverberant field may be obtained from procedures described in [Gilb81][Mal86]. This combination of methods is derived from preliminary studies showing the complementarity of these models for the estimation of the different criteria linked with the acoustical quality of a hall.

The Measurement Campaign

The room acoustics laboratory at IRCAM has undertaken a measurement campaign in several european concert halls, auditoria and opera houses [WJ92]. The interest of this campaign is, on the one hand, to gather a data base which permits to make systematical comparisons with the results estimated by the computer simulation environment and on the other hand, to verify our knowledge in auditory perception of room acoustical quality.

In order to follow a rigorous comparison between rooms, an experimental protocol has been adopted for the ensemble of the campaign. It responds to the following points:

Spatial distribution of sources and receivers: A systematic spatial disposition of sources and receivers has been applied to all rooms so as to analyse the dependence of the acoustical quality on source and receiver positions. Impulse responses have been measured for every source/receiver couple.

Directivity and orientation of transducers: the calculation of certain criteria need temporal and/or spatial weighting of reflections. Hence the measurements were done with different microphone sensitivities: omnidirectional, cardioide and bidirectional (figure of 8). Moreover, as the directivity characteristics of musical instruments privilege the excitation of different walls, it appeared important to get a more detailed information on the acoustical behaviour of the room than what can be afforded with an omnidirectional source [Kah94]. For that purpose, several orientations of a directive source were systematically studied (forward, backward, upward and towards left or right), meaning that a high number of measurements of source/receiver couples had to be performed.
For the validation of the simulation environment, the geometrical shape of the different halls is represented in the form of plane facets characterized by absorption and diffusion coefficients depending on the type of material. Source and receivers are set out in the model according to the spatial disposition and orientation used for the measurement campaign.

HALL OBJECTIVES MEASURES SIMULATION
Number of Src-Rev couples / Number of measures Number of facets
Louvres 95 couples / 195 measures 200 facets
Orsay 89 couples / 177 measures 219 facets
Pleyel 420 couples / 816 measures 242 facets
Musikverein 300 couples / 600 measures 248 facets
ConcertGebouw 341 couples / 630 measures 254 facets
ChampsElysées 419 couples / 881 measures 504 facets
Table 1. Number of measurements and simulated halls facets of the data base

Simulation of the Source Directivity

The validation of the different models of acoustic propagation used in this simulation environment, needs first to verify the accuracy of the simulated source radiation because it will influence all the process. Especially, the total power radiated will affect the reverberant field, while the principal direction of emission will modify the direct sound and first reflections, consequently affecting acoustical criteria depending on early energy. This point is of particular importance since for part of the measurements the receivers were located outside the loudspeakers main radiation lobe (side, backward and upward orientations of the source).

In order to be compatible with most standard characterization data of loudspeakers, a simple radiation model has been introduced. The user may indicate either a directivity index DI, the vertical and horizontal dispersion angles at -3dB or -6dB, or different combinations of these elementary models of the source. The DI and source power of the loudspeaker used for measurements were obtained from a standard 20 points measurement method, described by the norm AFNOR NF S 31-026. The aperture angles at -3 and -6 dB were directly determined from the polar diagrams of the source measured for each 1/3 octave band.

The validation of the source directivity model is carried out by comparing the measured and the estimated energy of the direct sound FOD (using a 5ms window) for all source/receiver couples over three octave bands: 250Hz, 1KHz and 4KHz. Means and standard deviations of all source/receiver couples in the 3 octave bands were calculated.

At 250Hz, for receivers located at the floor seating area, an over estimation of the direct sound was found. Moreover, it showed a positive correlation with distance, leading to a mean error of 7dB and a standard deviation of 4dB. This observation is linked to the excess attenuation of sound propagating accross the seats under grazing incidence. From the correlation analysis a correction factor could be derived for each hall (table 2). This correction factor depends on the mean elevation angle of incidence of the source, and reaches its maximum for a mean elevation of approximately -2.5deg.. These values seem coherent with the curves reported in [DL94].

HALL grazing incidence
correction (dB/m)
Mean Elevation Angle
of Incidence
STD(dB)
without correction
STD(dB)
with correction
Louvres0,30+15°1,600,97
Pleyel0,50-2,6°3,781,00
Musikverein0,36-5,0°3,001,50
ConcertGebouw0,30-6,3°2,661,36
Table 2. Influence of grazing incidence at 250Hz octave band on the error estimation of direct sound. Correction factor, mean elevation angle and standard deviations of the error estimation (with and without the corrections) are indicated for each hall.

At 1KHz and 4KHz octave bands, the mean difference on FOD is less than 1dB showing that the radiated power of the simulation model is correct (Table 3). Yet, the dispersion of the differences noticed for the 4kHz octave band shows that the model is not well adapted to describe the field radiated by the source because of the presence of three pronounced lobes in the vertical plane. Better results are obtained when considering only measurements for which the receiver faces the main directivity lobe of the source (|Azimut| < 60deg. and |Elevation| < 5deg.). Still, in that case, it is difficult to separate the respective influences of the source model accuracy, the room model approximations (degree of geometrical fidelity) and the measurement uncertainties (source and receiver location and orientation, repeatability of the measurement system, ...).

All Src/Rev couples|Azim| < 60° |Elev| < 5°
1KHz4KHz1KHz4KHz
MEAN (FODsim - FODmeas)[dB]-0,50,80,71
STD (FODsim - FODmeas)[dB]2,63,82,12,2
Table3. Means and standard deviations of the error estimation (FODsim - FODmeas), computed for all Source/Receiver couples and for specific couples where the receiver faces the main directivity lobe of the source.

Simulation of the Spatial Distribution of the Late Reverberation

This part is dedicated to the estimation of the late energy distribution within the hall. In the process, after a transition time, the cone tracing method and the direct diffusion processes are stopped. The residual intensities present on the boundaries are then driven by a transition matrix that describes the behaviour of the room under Lambert's law diffusion hypothesis. The amplification of this residue during the exponential decay is calculated for each boundary and the corresponding energy contributions are checked on each receiver location. Hence the late energy distribution will depend on the following parameters:

- distribution of the residual intensity when the cone tracing method is stopped,

- amplification of this residue during the exponential decay,

- geometrical coupling of the receiver with each surface.

The evaluation is carried out comparing estimated and measured cumulated energies of reverberation tails after a transition time (counted from the time of emission of the source pulse). The minimum transition time is set according to the maximum source/receiver distance. Different transition times were studied to evaluate their influence on the prediction of the spatial distribution of the late reverberant field. Table 4 presents the results for a transition time of 280ms for two room examples: the Salle Pleyel and the ConcertGebouw. The spatial distribution is described by the values collected on different receivers regularly spaced (5,6 m) in the audience area. The homogeneity of the distribution is evaluated for both the room and the simulation model by its ambitus and its standard deviation. The correlation between estimated and measured distributions is computed.

Residual energy after 280ms 250Hz 1kHz 4kHz
Pleyel

(20 receivers)
max-min [dB] room\sim 6.1\6.24.6\74.6\6.8
std [dB] room\sim1.54\1.71.2\1.91.3\1.8
Correlation (room\sim)0.560.880.84
ConcertGebouw

(18 receivers)
max-min [dB] room\sim 3.4\1.61.4\1.91.9\2.7
std [dB] room\sim0.9\0.50.4\0.5 0.5\0.7
Correlation (room\sim)0.550.450.76
Table 4. Distribution of the late reverberant energy cumulated in the time interval [280ms ; [[proportional]][ for two rooms. Comparison of the ambitus within the room and the simulated model. Correlation between measured and simulated spatial distribution of the late energy.

These results show that the model is able to predict the heterogeneities of the distribution of late energy although it tends to over estimate the dispersion. The correlation reaches high values when the dispersion is significant. These observations hold for the measurements carried out with figure of 8 microphones. Moreover, computations made with an earlier transition time (130ms) still allow a good estimation of what the late distribution of sound within the room will be. This remark is interesting regarding the fact that, for such an early transition, the boundaries of the room have only been "illuminated" by low order rays (< 3).

Conclusions

A systematic validation program is currently performed on a software environment dedicated to room acoustics prediction. The first steps of the validation have been pointed out and some interesting results have been obtained regarding the modelling of a directive source and of the spatial distribution of the reverberant energy in a hall.

The importance to take into account the radiation of a source for a relevant acoustical diagnosis, has lead to perform measurements with a directive source oriented in different directions, and to introduce a directivity model in the prediction system. This model proved to be efficient for the simulation of the acoustical power radiated by the source, and for the radiation description up to 2KHz. For high frequency bands, the presence of pronounced lobes needs a more refined model unless the measurements are restricted to direct sound incidence inside the main lobe. The results have confirmed the need for the introduction of a correction for the excess attenuation of sound propagation under grazing incidence over seat rows. The diffuse propagation model provides an efficient estimation of the spatial distribution of the late reverberant field.

Further studies will focus on the validation of the prediction of acoustical criteria linked to the early energy distribution.

References

[Mal86] C. Malcurt. PhD Thesis. Université de Toulouse, 1986

[WJ92] O. Warusfel & J. P. Jullien. Une campagne de mesures objectives et perceptives en acoustique des salles. proceedings of the 2nd french conference on acoustics, Arcachon, France, April 1992

[Kutt73] H. Kuttruff. Room Acoustics, Applied Science Publishers, London, 1973

[Gilb81] E.N. Gilbert, An iterative calculation of reverberation time. J. acoust. Soc. Am, 69,178, 1981

[Kah94] E.Kahle. Influence of size and composition of the orchestra on the perception of room acoustical quality. Proceedings of the Wallace Clement Sabine Centenial Symposium, Cambridge, Ma.,U.S.A. J. acoust. Soc. Am., pp. 207-210, June, 1994

[DL94] W. J. Davies & Y. W. Lam. New attributes of seat dip attenuation. Applied Acoustics, 41, pp. 1-23, 1994

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