What violin makers know about sound.

Luthiers tune instruments by the same patterns our plates draw.

This is not an analogy — it is the same technique. Carleen Hutchins (Scientific American, 1981; co-founder of the Catgut Acoustical Society) formalized free-plate tuning: sprinkle particles on a violin plate, excite it, and watch the Chladni patterns form. The luthier carves wood away, re-tests, and repeats until modes 1, 2 and 5 appear at the right frequencies with the right shapes. Makers worldwide still tune plates this way.

LookyMaster points the same physics at recordings: the seven cymatic plates render each zone's standing-wave figure from your track's own spectrum. The violin maker tunes wood until the pattern is right. We read your track's patterns to see whether it is.

A maker's "sound" is a resonance fingerprint — and quality differences are real but subtle.

The mastering lesson: resonances are not defects — a great instrument is resonances. Character means many distributed, moderate resonances; a defect is one isolated peak persisting where nothing musical needs it. That is exactly the line LookyMaster's Resonance tamer draws: it removes only persistent narrow outliers and never flattens, because flattening a master is sanding the instrument out of the recording.

The most famous blind test in music: soloists preferred the new violins.

The Fritz–Curtin studies (PNAS 2012, 2014, 2017) put Stradivaris and top modern violins in double-blind conditions — players in welding goggles, hotel rooms and concert halls, listeners in the seats:

2012: 21 experienced violinists could not reliably tell old from new; the most-preferred instrument was new and the least-preferred was a Stradivari. 2014: ten touring soloists, same design — most chose a new violin as the one they'd want for a concert tour. 2017: in halls in Paris and New York, listeners judged the new violins to project better than the Old Italians and preferred them, without being able to tell which was which.

The mastering lesson: legend, price and mystique do not survive blinding — measurement does. This is why LookyMaster's A/B is volume-matched: louder masquerades as better in sighted comparisons exactly the way a $10M label masquerades as tone. The Fritz methodology, applied to your own masters.

Authenticated Stradivaris, on record — listen before you read the label.

These are instruments whose identity is documented, played on camera or in controlled comparisons. In the spirit of the blind tests above: try the guess-which ones before looking at the answers.

And these instruments have been measured to death: the Strad3D project ran 3-D laser vibrometry, CT and modal analysis on the 1715 "Titian" and 1734 "Willemotte" Stradivaris and the 1735 "Plowden" Guarneri del Gesù; radiologists CT-scanned 37 bowed instruments from student fiddles to Strads (Sirr & Waddle, Radiology 1997); the Titian's CT data was converted into a full finite-element physics model (Pyrkosz et al., Michigan Tech); and in 2026 an MIT team (Makris lab, with a violin-maker co-author) published a strung computational Stradivarius built from those scans — full air-structure physics, plucked strings — that plays a Bach fugue and "Daisy Bell," the same song Bell Labs' first computer speech synthesis sang in 1961 (npj Acoustics). Its findings echo this page's lessons: the model reproduces the same signature modes real violins share (A0 Helmholtz near 284 Hz, T1, C3), its bridge admittance lands within the spread measured from 13 high-quality real violins, and below the A-string the sound radiates mostly through the f-holes — the authors describe the violin "singing through the f-hole" across a span that covers the human vocal registers, the same voice-likeness Tai measured in the Strad formants. And even this Stradivarius geometry is not uniform: plucked-note power efficiency averages only ~9% and swings widely from note to note, so players must compensate note-by-note to sound even — the instrument's unevenness is real, and musicianship absorbs it. Reverse-engineering the legend is a whole research field.

The wood and chemistry question — established facts, contested theories.

Established: CT densitometry found classical Cremonese violins used wood with more homogeneous density growth-rings than modern instruments (Stoel & Borman, PLoS ONE 2008). Independent chemistry on Stradivari maple found mineral treatment and decomposed hemicellulose absent from modern tonewood — evidence of a forgotten wood-treatment tradition plus three centuries of aging (Tai et al., PNAS 2017). The chemistry differences are real; whether they are audible is inferred, not demonstrated.

Contested: the "Little Ice Age" theory speculative — that the Maunder Minimum's cold decades produced slow, even spruce growth explaining Cremonese wood (Burckle & Grissino-Mayer, Dendrochronologia 2003) — is a hypothesis its own authors flagged as such, and the blind tests above undercut its premise. Nagyvary's chemical-treatment findings (Nature 2006; PLoS ONE 2009) disputed as "the secret" were partially corroborated by Tai, but his stronger claim that chemistry is the Stradivari secret is viewed skeptically by mainstream violin acousticians.

The mastering lesson: materials matter less than the mythology says, and geometry-plus-measurement matters more. Which is convenient, because a mastering engine can't change your microphones — but it can measure and shape the resonant result, which is the part the blind tests say listeners actually hear.

The projection band and the fatigue band are the same band.

Sundberg's singer's formant: trained opera singers cluster vocal resonances near 2.8–3.4 kHz, letting one voice ride over a full orchestra without amplification. And when Tai et al. recorded 15 antique Italian violins (PNAS 2018), the Stradivaris showed strong formants at exactly 2,766 and 3,141 Hz — inside that same strip — with formant positions closer to the human singing voice than other old Italians. The violin's "brilliance" region from Dünnwald's measurements sits nearby. And this is also the 2.5–5.5 kHz region Kumar et al. mapped as maximally unpleasant when overdriven — where the ear canal adds 10–15 dB of its own gain, and where noise damage concentrates.

The same frequencies carry the magic and the pain — dose is everything. That's why LookyMaster's EDGE zone gets bounded, dose-capped correction rather than removal: cut it dead and you lose projection; let it run hot and you fatigue the listener. Three hundred years of instrument making and modern hearing science converge on the same narrow strip of spectrum.

The wolf note — instrument making's oldest per-note correction.

On most cellos there is one specific note — typically around E3–F♯3 — where the bowed string and a strong body resonance couple and fight, producing an unstable, stuttering warble: the famous wolf tone. It has been studied since C. V. Raman (1916); the classic analysis is Firth & Buchanan (JASA 1973), and it is still active research — Zhang & Woodhouse ran blind playability tests on a wolf-modified cello in JASA 2018.

The standard remedy is a wolf eliminator: a small tuned mass on the string afterlength that damps exactly that one resonance and leaves every other note alone. That is per-note correction, practiced with a brass cylinder for a century — the same philosophy as LookyMaster's Note balancer, which finds the one bass note booming above its neighbors and applies a matched dynamic dip at its own fundamental only.

And the low registers carry a scaling secret. By Schelleng's scaling theory (JASA 1963), a violin scaled properly to cello pitch would be enormous — real cellos and double basses are proportionally undersized, so their main resonances (cello air resonance near 100 Hz; double bass roughly 60 Hz — Askenfelt 1982) sit above their lowest fundamentals. Their deepest notes radiate weak fundamentals and survive through harmonics via the missing-fundamental effect — the identical psychoacoustics our 808-harmonic stage uses to make sub-bass survive a phone speaker. Carleen Hutchins actually built the fix: her violin octet (first completed 1967) — eight instruments acoustically scaled per register — demonstrating the compromise was geometry, not physics.

Same physics, six strings.

Guitar research reaches the same conclusions by the same methods: modal analysis shows the bridge design reshapes the top plate's vibration modes (Torres & Boullosa, Applied Acoustics 2009), and bracing patterns change the modal parameters of otherwise similar soundboards (Torres & Boullosa, JASA 2011). Bernard Richardson's decades of holographic-interferometry work at Cardiff imaged guitar modes directly. Maker choices → modal fingerprint → the sound you recognize as "a Martin" or "a Torres."

Every claim on this page, linked to its source.