Genelec Proceedings of Institute of Ac Introduction Manual Download Page 5

Proceedings of the Institute of Acoustics

 

 
 

where 

x(f)

 is the smoothed magnitude of the in-situ frequency response of the system, 

a

m

(f)

 is the 

midrange and treble level control combination 

m

 currently being tested, 

x

0

(f)

 is the target response, 

f

1

 and 

f

2

 define the ‘midrange and treble driver band’ (Table 7). The lower frequency bound is fixed 

at 500 Hz but a user selectable high frequency value is permitted. The default value is 15 kHz. 
The midrange-to-treble level ratio is saved for performing the third stage of the optimisation proc-
ess. The reason for this is to reduce the number of room response control combinations to be 
tested in the next stage. This stage of the optimisation algorithm takes 49 filtering steps and is not 
required for two-way models or small two-way models. 
 
 

3.2.3  Bass Tilt and Bass Level 

This stage of the optimiser algorithm filters using all possible combinations of bass tilt and bass 
level controls for a given midrange/treble level difference. By fixing this difference the total number 
of filter combinations can be reduced substantially. 
A constraint imposed in this stage is that only two of the driver level controls can be set at any one 
time. If three of the level controls are simultaneously set the net effect is a loss of overall system 
sensitivity. Table 8 shows an example of incorrect and correct setting of the driver level controls. 

Table 8. Driver level control settings. 

Control 

Incorrect Setting 

Correct Setting 

Bass level 

–4 dB 

–2 dB 

Midrange level 

–3 dB 

–1 dB 

Treble level 

–2 dB 

  0 dB 

Input sensitivity 

  –6 dBu 

  –4 dBu 

 
The least squares type objective function to be minimised is the same as shown in Equation 3. 
However, 

a

m

(f)

 is the bass tilt and bass level combination 

m

 currently being tested together with the 

fixed midrange and treble level ratio setting found in the previous stage. Also, 

f

1

 and 

f

2

 now define 

the ‘loudspeaker pass band’ (Table 7). The user can select both values. The default values are the 
–3 dB lower cut-off frequency of the loudspeaker and 15 kHz. 
This part of the optimisation algorithm takes 35 filtering steps. There are no driver level controls in 
two-way or small two way systems so these virtual controls are set to 0 dB. The bass tilt control can 
then be optimised using the same objective function. Only five filtering steps are required for two-
way and small two-way systems. 
 
 

3.2.4  Reset Bass Roll-off 

Firstly, the bass roll-off control is reset to 0 dB. Then the method used to set the bass roll-off earlier 
is repeated, but without modifying upwards the final setting. The same objective function as pre-
sented in Section 3.2.1 is used. 
 
 

3.2.5 Set 

Treble 

Tilt 

The least squares type objective function to be minimised is the same as shown in Equation 3. 
However, 

f

1

 and 

f

2

 now define the ‘loudspeaker pass band’ (Table 7). The user can select both val-

ues. The defaults are the –3 dB lower cut-off frequency of the loudspeaker and 15 kHz. This part of 
the algorithm requires five filtering steps for two way and large models (three for small two way 
models), and it is skipped for three ways because having no such control. 
 
 

3.3 

Reduction of Computational Load 

The optimiser algorithm reduces the computational load by exploiting the heuristics of experienced 
calibration engineers. As a result, the number of filtering steps has dramatically reduced for larger 

Summary of Contents for Proceedings of Institute of Ac

Page 1: ... the optimisation algorithm is then investigated by studying the statistical properties of frequency responses before and after equalisa tion 2 IN SITU EQUALISATION AND ROOM RESPONSE CONTROLS 2 1 Equalisation Techniques The purpose of room equalisation is to improve the perceived quality of sound reproduction in a lis tening environment not to convert the listening room anechoic In fact listeners ...

Page 2: ... from colora tion Also despite the widespread use of equalisation it is still hard to provide exact timbre match ing between different environments Several methods have been proposed for more exact inversion of the frequency response to achieve a close approximation of unity transfer function no change to magnitude or phase within a certain bandwidth of interest16 24 Some researchers have also sho...

Page 3: ...n parameters x ℜn Multi objective optimisation is concerned with the minimisation of a vector of objectives E x that may be subject to constraints or bounds Several robust methods exist for optimising functions with design parameters x having a continuous value range37 3 1 Efficiency of Direct Search The room response controls of an active loudspeaker form a discrete valued set of frequency re spo...

Page 4: ...d less or no bass roll off is eventually required The min max type objective function to be minimised is given by Equation 2 3 2 2 1 0 0 max max min f f f f f f f x f x f a f x f x f a E b a m b f m a f m 2 where x f is the smoothed magnitude of the in situ frequency response of the system am f is the bass roll off setting m currently being tested x0 f is the target response fa defines the bass ro...

Page 5: ... The least squares type objective function to be minimised is the same as shown in Equation 3 However am f is the bass tilt and bass level combination m currently being tested together with the fixed midrange and treble level ratio setting found in the previous stage Also f1 and f2 now define the loudspeaker pass band Table 7 The user can select both values The default values are the 3 dB lower cu...

Page 6: ...response around fLF when off axis loudspeaker location reduces significantly the high frequency level when a loudspeaker is positioned behind a screen or when the measuring distance is very long It is naturally preferable to remove such causes of problems if possible 3 4 2 Target for Optimisation There are five target curves from which to select 1 Flat is the default setting for a studio monitor T...

Page 7: ...system parameters Parameter Equipment Setting Measurement System WinMLS200039 Microphone Neutrik 3382 40 Sample rate fs 48 kHz MLS sequence order 14 16 Averages 1 Impulse response length 0 341 s 1 36 s Time window Half cosine FFT size 16384 65536 Frequency resolution 2 93 Hz 0 733 Hz 4 1 Statistical Data Analysis Statistical analysis was conducted to assess the ability of the equalisation algorith...

Page 8: ... band of equalisation crosses are indicated on the graphical output The proposed room response control settings are shown and the effect of these settings is visualised in the response plot The treble tilt midrange level and bass tilt controls have been set The equalisation corrects the low frequency alignment and improves the linearity across the whole passband The optimised result is displayed i...

Page 9: ... green background as well as the error function value and processing time Figure 2 Case example statistical analysis output 4 3 Results 63 loudspeakers were measured before and after equalisation 12 small two way 22 two way 30 three way and three large systems Depending on the product type not all of the room response controls are available Tables 1 4 Table 12 shows the number times a control was ...

Page 10: ...in terms of quartile difference and RMS deviation in the sub band analysis This was not evident in the broadband metrics indicating that the arbitrary definition of subband frequency division introduced some error The cases where this happened originally suf fered from severe response anomalies due to extremely bad room acoustics The equalisation was not designed to compensate for such problems Su...

Page 11: ...is heuristics is the order in which these choices should be taken A considerable improvement in the speed of optimisation was achieved relative to an exhaustive search The optimisation algorithm is robust to a wide variety of situations such as variations of room acoustics differently sized loudspeakers with differing anechoic responses and varying in situ responses42 The optimisation is sufficien...

Page 12: ...to 75 Percentile Difference Change due to Equalisation Small models 3 2 1 0 1 Broadband LF MF HF Level dB RMS Deviation Change due to Equalisation Small models 5 4 3 2 1 0 1 Broadband LF MF HF Level dB 25 to 75 Percentile Difference Change due to Equalisation 2 way models 3 2 1 0 1 Broadband LF MF HF Level dB RMS Deviation Change due to Equalisation 2 way models 5 4 3 2 1 0 1 Broadband LF MF HF Le...

Page 13: ...nd tune studios and listening rooms 7 ACKNOWLEDGEMENTS The authors would like to thank Mr Steve Fisher SCV London for the original inspirational idea and some of the measurements used in the statistical analysis Mr Olli Salmensaari Finnish Broadcasting Corporation for additional measurements Mr Lars Morset Morset Sound Develop ment and Genelec Oy Parts of this work are presented in more detail as ...

Page 14: ... Regularisation IEEE Trans Speech Audio Proc vol 6 pp 189 194 1998 Mar 22 Johansen L G and Rubak P Listening Test Results from a new Loudspeaker Room Cor rection System presented at 110th Conv Audio Eng Soc preprint 5323 2001 May 23 Johansen L G and Rubak P Design and Evaluation of Digital Filters Applied to Loud speaker Room Equalisation presented at 108th Conv Audio Eng Soc preprint 5172 2000 Fe...

Page 15: ...Conv Audio Eng Soc preprint 5730 2003 Mar 39 Morset Sound Development WinMLS2000 http www winmls com 2003 Feb 40 NTI AG Neutrik Test Instruments 3382 Microphone http www nt instruments com 2003 Feb 41 Goldberg A P Mäkivirta A Statistical Analysis of an Automated In Situ Frequency Re sponse Optimisation Algorithm for Active Loudspeakers proceedings of the 23rd Conf Au dio Eng Soc 2003 May 42 Goldbe...

Page 16: ...red Measurement Microphone Compensation CTRL M Measurement Dump Reset Graph and Outputs Get Model Number Apply Mic Compensation Remove DC Window FFT and Smooth Load Impulse Response Set DIPtimisation Range Display Original Freq Response Display Target Response Calculate Target Resp Stored Measurement CLOSE DIPtimiser 1 2 Figure 6 Software flow chart part 1 CLOSE Set Frequency Range START ...

Page 17: ... Is Small System Load Filters Model Filters Preset BRO Find ML TL Ratio Set BL BT wrt ML TL Reset BRO Set TT Display Final Tone Control Settings Display Final Frequency Response Set BT Is 3 way System 1 2 Figure 6 continued Software flow chart part 2 Y N N Y ...

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