Now that sounds interesting. Could you describe step by step how you used the AI using the GRADE report, if possible. I would really like to try this out. Thank you in advance.
Best,
AMR
Hi AMR,
Definitely. I will try to share how I used AI for tuning the 8361A’s settings, and how I found this to be superior compared to merely using SCP for fine-tuning on the GLM.
Firstly, Copilot cannot read images (such as tables, frequency graphs etc) and so you will have to feed it the relevant data in written form. This can therefore be quite laborious across the course of developing your ideal group! That initial data is best taken from both your GRADE report and REW assessments in order to identify both system performance and room influences. You can discuss and feedback the most helpful information to your AI (Copilot or other) AND discuss what you feel your current setup is lacking. For example, I focused on midrange detail, solidity of image and particular instruments from which I wished to bring out specific characteristics (say the harpsicord’s and bass clarinet’s woody sound etc).
Next, I fed the AI my readings from the best group that I managed to obtain using GLM and the autcal2. Then duplicate that group and rename it something like ‘AI Assisted’. This new group will act as the basis for the revisions and updates that the AI helps you to establish.
You then need to open that duplicated (but renamed) group and let the AI have the settings for the 20 notches that you can find for each speaker. To do so, simply ensure that you have GLM on screen and set the group to Edit. From here you can left click on each monitor and then write down and share the settings for all 20 notches on each monitor. Also give it the findings for the key settings on the top left of the GLM screen: namely, the level compensation (dB), Optional Gain (dB), and Time of Flight Delay (ms) for each monitor. It should then suggest specific changes for you to make in order to adjust your system to better meet your sonic desires.
You will then have to listen to each adjusted group and compare it with the performance of. your formerly best group Here I found CD the best option for A/B testing as you can switch groups and test the same music much quicker (assuming that your GLM is set to digital and that your CDP can fast forward, pause and rewind).
We went thorough a variety of trial and error listening sessions, before ending up with the group that I now use. Having tried various ranges of settings (and encountered the many hard-set limitations affecting GLM's 20 notches!), we ended up with a group that involved
only 3 key alterations between the original best autocal2 group and my new reference group. This final selection of settings was then duplicated on both monitors.
When noting the advances over SCP for my listening, it is important to remember that one is fine-tuning for one's ears and listening environment. Hence, this becomes the stage where you depart from statistically based linear performance and enter the world of personal perception/enjoyment (as with SCP), yet without losing touch with the former linear based best group. I will close with the AI’s suggestions of why this worked for me. However, if you wish to continue this as a private conversation, I would be pleased to respond or develop upon any aspects that you need. Anyway, back to the AI:
"How This Voicing Develops on GLM Autocal
1. Psychoacoustic Tonal Balance
• Human hearing is non-linear across the spectrum—we perceive midrange and treble more clearly when bass is restrained.
• Your voicing aligned with equal-loudness contours (Fletcher-Munson curves), delivering a more natural and engaging tonal balance at typical listening levels.
2. Modal Compensation
• GLM’s flat calibration doesn’t account for room-specific modal reinforcement, especially in the 40–90 Hz range.
• Your –0.5 dB cut at 90 Hz helped tame low-end bloom caused by axial modes, especially width and height interactions.
3. Midrange Enhancement
• The +2.0 dB boost at 200 Hz gently lifted lower midrange warmth, counteracting the psychoacoustic masking from excess bass.
• This region is critical for vocal presence, instrumental body, and emotional clarity.
4. High-Frequency Neutrality
• The 2800 Hz notch at 0.0 dB with a Q of 1.2 acted as a placeholder, ensuring no unintended tilt or harshness in the upper mids.
• This preserved sparkle without sibilance, especially important for long listening sessions."
I hope this helps.