Topic: L7 Natural [Jan 4 2026] FXP. Tuning (+/- cents) research
Version: January 4, 2026. Change Log
Base Preset: NY Steinway Model D
https://forum.modartt.com/file/a3ux3446
Demo: Fragment "Fast Piano & Stuff" included for demonstration was created by Misaka to testing. Output peak: -1.1 dB
January 4, 2026.
https://forum.modartt.com/download.php?id=6448
December 27, 2025.
https://forum.modartt.com/uploads.php?f...Misaka.mp3
Full Change Log (Dec 26) vs. NY Steinway Model D: https://forum.modartt.com/viewtopic.php?id=12899
Dec 27 : https://forum.modartt.com/viewtopic.php?id=12902
Jan 3 : https://forum.modartt.com/viewtopic.php?id=12937
NEW:
Tuning
Instead of using Stretch: 1.18 [Nat] (default: 1.00), I replaced it with the following Detune values (compatible with both Standard and Pro versions):
NEW (Today)
Detune = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -19, -19, -18, -18, -17, -17, -17, -16, -16, -16, -15, -15, -15, -14, -14, -13, -13, -13, -12, -12, -12, -11, -11, -11, -10, -10, -10, -9, -9, -9, -8, -8, -8, -7, -7, -7, -7, -6, -6, -5, -5, -4, -3, -3, -2, -2, -1, 0, 0, +1, +1, +2, +2, +3, +4, +4, +5, +6, +7, +8, +9, +10, +11, +13, +14, +16, +18, +20, +22, +25, +27, +30, +34, +35, +37, +39, +40, +41, +42, +43, +44, +44, +44, +45, +45, +45, +45, +45, 0, 0, 0, 0, 0]OLD (Jan 3 2026)
Formula by Railsback, O. L. (1938). "Scale Temperament as applied to piano tuning". The Journal of the Acoustical Society of America. 9, 274.
Detune = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17, -17, -17, -13, -13, -9, -9, -8, -6, -4, -4, -3, -3, -3, -3, -2, -2, -2, -2, -2, -1, -1, -1, -1, 0, 0, 0, 0, +1, +1, +1, +1, +2, +2, +2, +3, 0, 0, 0, +1, +1, +1, +2, +2, +2, +3, +3, +3, +3, +3, +4, +5, +6, +6, +7, +8, +8, +9, +9, +10, +4, +4, +5, +5, +6, +6, +7, +8, +8, +9, +9, +10, +11, +12, +13, +15, +16, +17, +18, +20, +22, +25, +26, +29, +31, +34, +37, +40, 0, 0, 0, 0, 0]Here's the deal with the Steinway Model D tuning research I found:
Full research: https://forum.modartt.com/viewtopic.php?id=12942
The key discovery is that mathematically "perfect" tuning actually sounds wrong on real pianos. The strings exhibit something called inharmonicity, meaning their overtones deviate from pure harmonic ratios due to string stiffness. To compensate, professional tuners have applied stretch tuning for centuries, setting bass notes slightly flat and treble notes slightly sharp.
For the Steinway Model D specifically, we are looking at about 64 cents of total stretch, ranging from −19 cents at the lowest A (A0) to +45 cents at the top C (C8). The neutral point where deviation sits at zero falls around G#4 to A4, which serves as the reference region for tuning. The stretch plateaus in the extreme treble, leveling off around +45 cents above C7 due to psychoacoustic limits on useful octave enlargement.
What is remarkable is that both traditional ear tuners and modern electronic software arrive at essentially the same curve. The physics simply demands it.
The math behind a Steinway Model D's stretch tuning starts with Fletcher's inharmonicity formula: fn = n × f0 × √(1 + Bn²). We convert inharmonicity into cents using the factor 865.62 × B × n² (where B is the string's inharmonicity coefficient and n is the partial number). Because concert grands like the Steinway Model D have very long bass strings (approximately 201 cm), their B values remain extremely low, roughly 0.0002 to 0.0006 through the midrange, requiring less stretch than smaller pianos.
Tuners typically use a 4:2 octave standard, matching the 4th partial of the lower note to the 2nd partial of the upper note. This approach produces roughly 2 to 4 cents of stretch per octave, accumulating to approximately 60 to 85 cents across the full keyboard on a concert grand.
Since 2015, three key advances have validated the physics-based approach: Giordano's sensory dissonance minimization model (JASA 2015), Hinrichsen's entropy-based optimization (Entropy Piano Tuner), and Jaatinen and Pätynen's subjective octave measurements on a Steinway D (JASA 2022). Together, these studies demonstrate that physics-based stretch calculations accurately predict both measured tuning curves and listener preferences.