Question 1

What is measurement-driven EQ and why is it better than EQing by ear?

Accepted Answer

Measurement-driven EQ uses objective data from a transfer function or RTA measurement to guide EQ decisions. By-ear EQ relies on the engineer listening and adjusting subjectively. Measurement-driven EQ is more consistent, repeatable, and transferable between engineers. It reveals problems that are difficult to hear in context (such as a 3 dB low-frequency buildup that sounds normal until corrected). It also prevents over-correction of narrow-band features that are position-dependent. However, measurement does not replace ear training — the final sound should be verified by listening. The best approach is measurement-driven EQ as the starting point, followed by minor subjective refinement. SonaVyx provides both the measurements and AI-guided EQ recommendations for a structured tuning workflow.

Question 2

How do I generate EQ recommendations from a transfer function measurement?

Accepted Answer

The workflow: measure the transfer function with smoothing (1/6 octave for parametric EQ, 1/3 for broad adjustments). Compare against your target curve (flat, house curve, etc.). Identify deviations greater than ±3 dB from the target. For each deviation, determine: the center frequency (where the peak or dip is centered), the magnitude (how many dB above or below target), and the bandwidth (how wide is the deviation). Convert the bandwidth to Q: Q = center_frequency / bandwidth. Set a parametric EQ filter with these parameters, but with opposite gain (cut for a peak, boost for a dip). Apply and re-measure to verify. SonaVyx AI diagnostic automates this process, analyzing the transfer function and generating specific parametric EQ filter recommendations with frequency, gain, and Q.

Question 3

Should I EQ narrow dips in the frequency response?

Accepted Answer

Generally, no. Narrow dips (nulls) are typically caused by acoustic interference: comb filtering from reflections, room mode cancellations, or multi-speaker interference. These nulls are position-dependent — they move or disappear at different listener positions. Boosting to fill a null has several problems: it requires a lot of amplifier power (a 10 dB null requires 10 dB of boost — 10 times the power), the boost only helps at the measurement position and may cause a peak at adjacent seats, and high boost levels risk distortion. Instead, address the root cause: absorb or redirect the offending reflection, adjust speaker spacing or aiming, or accept the null as part of the room character. SonaVyx AI diagnostic identifies whether a deviation is EQ-correctable or room-related and advises accordingly.

Question 4

How do I use SonaVyx AI diagnostic for EQ recommendations?

Accepted Answer

Run a transfer function or RTA measurement at the primary listening position. Then navigate to the Diagnose page or use the AI Diagnostic mode in the workspace. SonaVyx sends the measurement data to Claude Sonnet 4 for analysis. The AI evaluates: overall frequency balance, per-band deviation from the target, coherence quality (indicating which frequency ranges have reliable data), problem detection results (feedback, hum, comb filtering), and the overall system health score. The AI returns specific parametric EQ recommendations: frequency, gain, and Q for each suggested filter, in priority order. Free tier shows the top 3 recommendations plus a blurred summary. Pro tier provides the complete analysis with all recommendations, alternative approaches, and confidence ratings for each suggestion.

Question 5

How many measurement positions should I average before applying EQ?

Accepted Answer

For system EQ that serves the entire audience, average measurements from 3-8 positions. Use SonaVyx trace overlay to compare positions visually. Features that appear consistently across all positions are system characteristics that should be EQed. Features that vary between positions are room or position artifacts that should not be EQed. Practically: measure at the mix position, two positions in the front and rear thirds of the audience, and one position on each side edge. Look for consensus: if all 5 traces show a peak at 2 kHz, correct it. If only one trace shows a dip at 400 Hz, leave it. For venue systems with a fixed listening position (control room, mixing position), a single well-chosen measurement position may be sufficient because you are optimizing for one listener.

Question 6

What is the correct order of operations for system EQ?

Accepted Answer

Follow this sequence for best results: set the high-pass filter to protect the speakers. Set crossover filters and verify crossover alignment (phase). Apply broad shelving or wide parametric corrections to establish the overall tonal balance (no more than ±6 dB). Apply medium-Q parametric corrections for specific response anomalies (room modes, speaker resonances). Add narrow notch filters only for feedback control (last resort). Re-measure after each stage to verify the cumulative effect. Do not skip steps or apply narrow corrections before broad ones — narrow corrections interact differently when the broad shape changes. SonaVyx workflow guides suggest this sequence and the AI diagnostic recommendations are ordered from broad corrections to narrow refinements.

Question 7

How do I verify that my EQ changes actually improved the system?

Accepted Answer

Take a before measurement (store the trace in SonaVyx) at the primary listening position. Apply the EQ changes. Take an after measurement at the same position with the same settings. Compare using SonaVyx before/after mode: the difference trace shows exactly what changed. Verification criteria: the after trace should be closer to the target curve than the before trace. The overall deviation from target (in dB RMS) should be smaller. No new peaks or dips should be introduced. Also listen critically: play familiar reference material and verify that the tonal balance sounds natural. If the measurement looks better but sounds worse, your target curve may need adjustment. SonaVyx before/after comparison quantifies the improvement percentage.

Question 8

Can EQ compensate for a bad room or poor speaker placement?

Accepted Answer

EQ can improve tonal balance but cannot fix fundamental acoustic problems. What EQ can do: flatten broad peaks caused by speaker response deviations, reduce low-frequency buildup from boundary coupling, correct tonal coloration from speaker or room resonances, and improve overall frequency balance. What EQ cannot do: fill position-dependent nulls (they move with the listener), remove discrete echoes or flutter echoes, reduce reverberation time, improve coverage uniformity, or fix comb filtering from reflections. For problems EQ cannot solve, the remedies are: acoustic treatment (absorption, diffusion), speaker repositioning, aiming adjustment, adding more speakers for coverage, or time alignment. SonaVyx AI diagnostic distinguishes between EQ-correctable and non-EQ problems and recommends the appropriate solution for each.

Measurement-Driven EQ: From Transfer Function Data to Optimal Equalization

Frequently Asked Questions