dasdoing
Major Contributor
well, mixing/mastering engineers use phantom centers
Score is 5.1 and would be 7.3 with a perfect subwoofer (which is likely the case with the Amie sub).
The speaker is very well optimised and I would not use an EQ with it.
With eq, it looks better on the on-axis and listening window but I am not convince by the change in the PIR and you can see the negative effect in the histogram. I would need to listen to it to see if that makes a positive and audible difference.
With EQ, score would increase marginally up to 5.6 (resp. 7.8 with sub).
View attachment 315908
Code:EQ for Meyer Sound Amie computed from ASR data Preference Score 5.15 with EQ 5.61 Generated from http://github.com/pierreaubert/spinorama/generate_peqs.py v0.25 Dated: 2023-10-01-14:55:41 Preamp: -2.7 dB Filter 1: ON PK Fc 58 Hz Gain -1.52 dB Q 2.99 Filter 2: ON PK Fc 95 Hz Gain +0.99 dB Q 1.87 Filter 3: ON PK Fc 260 Hz Gain +1.80 dB Q 2.99 Filter 4: ON PK Fc 560 Hz Gain +1.23 dB Q 2.98 Filter 5: ON PK Fc 1429 Hz Gain +1.20 dB Q 2.95 Filter 6: ON PK Fc 4051 Hz Gain +1.01 dB Q 2.94 Filter 7: ON PK Fc 10341 Hz Gain +2.65 dB Q 0.53
I am a bit concerned about the meaningfulness of the "with EQ" scores of tested speakers. Who decides which parameters should be used to optimize the EQ for each speaker? Does a flatter frequency response mean better sound? What about the phase shifts and delays introduced by these IIR filters, and the changes to the peak energy times of these frequencies?
I understand that the same optimization parameters are used for all speakers to ensure comparability. However, it is possible to auto-EQ every frequency response to be perfectly flat (or on target per se) with the right parameters and method, and this would most probably just sound awful. But there will be cases where some very sharp filters will help improve the response of a certain speaker with phase anomalies in the design, while totally ruining it for another.
The seemingly harmless filters above with a maximum bandwidth of 3 (which I believe to be proportional Q) and a maximum gain of 2.65 dB will still cause more than 10 degrees of phase shifts at many frequency bands (dotted line below). Depending on the actual phase response of the particular speaker, these phase shifts may help or worsen the sound of the speaker. Again, this is a very mild EQ and a few ms of delays caused by 10 degrees are inaudible in practice but I see a lot more aggressive EQ parameters making their way to spinorama scores from time to time.
View attachment 321272
The author's EQ generating code is one of the best and most sophisticated I have seen and comes with no less than 50 optimization paramaters:
![]()
spinorama/generate_peqs.py at master · pierreaubert/spinorama
A library to display and compare spinorama (speakers measurements) graphs. - pierreaubert/spinoramagithub.com
But that's also my point here!
A few well-known experts on audibility of phase shiftsI am a bit concerned about the meaningfulness of the "with EQ" scores of tested speakers. Who decides which parameters should be used to optimize the EQ for each speaker? Does a flatter frequency response mean better sound? What about the phase shifts and delays introduced by these IIR filters, and the changes to the peak energy times of these frequencies?
I understand that the same optimization parameters are used for all speakers to ensure comparability. However, it is possible to auto-EQ every frequency response to be perfectly flat (or on target per se) with the right parameters and method, and this would most probably just sound awful. But there will be cases where some very sharp filters will help improve the response of a certain speaker with phase anomalies in the design, while totally ruining it for another.
The seemingly harmless filters above with a maximum bandwidth of 3 (which I believe to be proportional Q) and a maximum gain of 2.65 dB will still cause more than 10 degrees of phase shifts at many frequency bands (dotted line below). Depending on the actual phase response of the particular speaker, these phase shifts may help or worsen the sound of the speaker. Again, this is a very mild EQ and a few ms of delays caused by 10 degrees are inaudible in practice but I see a lot more aggressive EQ parameters making their way to spinorama scores from time to time.
View attachment 321272
The author's EQ generating code is one of the best and most sophisticated I have seen and comes with no less than 50 optimization paramaters:
![]()
spinorama/generate_peqs.py at master · pierreaubert/spinorama
A library to display and compare spinorama (speakers measurements) graphs. - pierreaubert/spinoramagithub.com
But that's also my point here!
Good reading, thanks. And it confirms that phase shifts are very audible because they cause major SPL changes in the case of stereo listening and in the room environment as opposed to a mono speaker in an anechoic chamber. I have tested more than enough times the improvement in the sound stage precision, centering and height when left and right speakers are phase synched at the MLP which is a logical outcome when left and right speaker delays and inter-driver delays within each speaker are equal.
Good reading, thanks. And it confirms that phase shifts are very audible because they cause major SPL changes in the case of stereo listening and in the room environment as opposed to a mono speaker in an anechoic chamber.
I am questioning the meaningfullness of evaluating a speaker's sound quality after an EQ applied with some random parameters and use it as a comparison score with another speaker.
I'd be happy to hear their comments on the common guidelines they follow in the EQ process.You would need to ask @pierre and @Maiky76 to learn about their guidelines they apply to their EQ filters.
I might have missed but I didn't see any time domain analysis of the response i.e. wavelets, auto-EQ seems to be simply based on the frequency domain response.if the filters are chosen so that the group delay does not exceed frequency dependent thresholds.
Why not include XO phase correction and add it to the score then? Why limit digital correction to IIR filters only?if due to a suboptimal crossover the Power Response showcases a dip around the crossover frequency, it stays
Well I can agree that we can't be sure which of the incredibly many EQ approaches are optimal - simply because there is not enough formal research to back it.I still tend to believe that it's not optimal to decide a standard auto-EQ process is the best possible digital correction that can ever be applied to that speaker in any room and classify its sound performance accordingly.
I just checked the post and I generally refrain to disagree with others in these forums but anyone with some real life experience in DRC will know that IIR filters like a -7dB cutoff at 15kHz (highlighted below) are very unlikely to produce sound improvements in a room. In practice, you don't want to touch above 1kHz unless you have a very good reason and some very robust IR gating method. The treble will sound throttled at best and with a wavelength of 2.2 cm (shorter than the distance between your ears) for 15kHz, the dependence of the benefit of the filter on speaker directivity is also very questionable IMO.
That's why Toole (see my above link) and many here recommend and are equalising in that region only based on full anechoic data and not on listening position measurements.Some notes on why you wouldn't want to EQ above 1kHz
He also suggest something like to leave alone anything above 500Hz and to correct with a broad low Q self if needed:That's why Toole (see my above link) and many here recommend and are equalising in that region only based on full anechoic data and not on listening position measurements.
Above about 400-500 Hz the "early reflections" curve in the spinorama should be similar to what you have measured. If you have well designed loudspeakers the room curve might have some smallish ripples caused by acoustical interference between and among the direct and reflected sounds - these are not problems to two ears and a brain and equalization is the wrong method of addressing them if they were - that is an acoustics issue. Spatial averaging over several microphone locations tends to smooth the room curve at middle and high frequencies, thereby reducing the likelihood that an auto-EQ algorithm (or a person) might try to "fix" something that can't be fixed, or that doesn't need to be fixed. Remember, any EQ applied to a room curve modifies the direct sound, and it the the direct sound that is a key factor in determining sound quality. If you began with loudspeakers designed to have the desirable smooth and flat on-axis/listening window response, they will be degraded.
www.audiosciencereview.com
Are you saying anechoic responses of speakers need 12dB cuts at 13kHz in this day and age? One doesn't need any test to not buy such designs if they exist!That's why Toole (see my above link) and many here recommend and are equalising in that region only based on full anechoic data and not on listening position measurements.
I am afraid you missed my previous fully as it also writes:Are you saying anechoic responses of speakers need 12dB cuts at 13kHz in this day and age? One doesn't need any test to not buy such designs if they exist!
And back to my main and in fact only point which is being ignored. A fixed parameter auto-EQ process "maybe" should not be a trusted sound score attribute for speaker comparison.
I agree that such automatic algorithms still cannot fully replace an expert with his experience on equalisation
I am not arguing on the effectiveness of the automatic algorithm. In fact, I admitted at the very begining that it's one of the best I have seen (I've checked the actual code).automatic algorithms still cannot fully replace an expert with his experience on equalisation
Are you saying anechoic responses of speakers need 12dB cuts at 13kHz in this day and age? One doesn't need any test to not buy such designs if they exist!

And back to my main and in fact only point which is being ignored. A fixed parameter auto-EQ process "maybe" should not be a trusted sound score attribute for speaker comparison.
Why not include XO phase correction and add it to the score then? Why limit digital correction to IIR filters only?