Unique Melody Maslow Review: Ranked #293 of 1476

Last updated: October 21, 2026

The Unique Melody Maslow ranks #293 out of 1476 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: Unique Melody

Prices on this page were last checked October 20, 2026 at 10:35 PM UTC. Product prices and availability are accurate as of that date/time and are subject to change; the price and availability shown on Amazon at the time of purchase will apply to the purchase of this product.

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Unique Melody Maslow - ranked #293 of 1476 In-Ear Headphones · Editor's rating 4.3/5

#293 Unique Melody Maslow: $830 eBay

Pros: A dynamic, four balanced armature and two electrostatic tribrid with a preference score of 77. Bass is full to 20 Hz and the lower midrange stays within 1 dB of target.

Cons: Presence sits 3.2 dB low with a 4.4 dB dip near 4.1 kHz, while the top octave runs 4.7 dB hot, so vocals can sound distant and treble bright. It is sold mainly in Japan at about $830, impedance and sensitivity are not published, and the score rests on a single measurement.

Is the Unique Melody Maslow right for you?

Buy it if

  • you want the tuning most listeners prefer in blind tests out of the box (Harman score 77).
  • you want sub-bass rumble that reaches down to 20 Hz.

Skip it if

BackClosed
ConnectionWired
Deviation From Target1.91 dB standard deviation
Driver TypeTribrid (dynamic + balanced armature + electrostatic)
Drivers1 x dynamic + 4 x balanced armature + 2 x electrostatic
Form FactorIn-ear
Harman Preference Score77 (1 squig.link measurement, calibrated to AutoEQ)
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (+0.7 dB at 30 Hz)
Tonal Tilt-0.28 (negative is warmer, positive brighter)

EQ Presets

Harman target

Set a preamp of -5.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 94 out of 100, up from 77.

FilterFrequencyGainQ
Low shelf105 Hz-0.4 dB0.70
High shelf10,000 Hz-5.2 dB0.70
Peak23 Hz-1.7 dB3.46
Peak72 Hz+0.9 dB0.87
Peak954 Hz-1.3 dB2.08
Peak2,103 Hz+1.7 dB4.54
Peak3,654 Hz+5.2 dB1.24
Peak7,626 Hz-2.7 dB4.50

Neutral target

Set a preamp of -5.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 94 out of 100, up from 40.

FilterFrequencyGainQ
Low shelf105 Hz-8.9 dB0.70
High shelf10,000 Hz-5.2 dB0.70
Peak23 Hz-2.2 dB2.38
Peak956 Hz-1.3 dB2.10
Peak2,103 Hz+1.7 dB4.54
Peak3,654 Hz+5.2 dB1.24
Peak7,626 Hz-2.7 dB4.50

Studio flat target

Set a preamp of -6.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 92 out of 100, up from 23.

FilterFrequencyGainQ
Low shelf105 Hz-11.0 dB0.70
High shelf10,000 Hz+1.0 dB0.70
Peak32 Hz-1.1 dB2.32
Peak71 Hz+1.1 dB2.28
Peak194 Hz-1.3 dB0.40
Peak973 Hz-1.3 dB2.17
Peak2,773 Hz+6.0 dB1.33
Peak3,980 Hz+2.2 dB3.81
Peak7,430 Hz-2.8 dB3.80

Warm target

Set a preamp of -3.5 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 91 out of 100, up from 77.

FilterFrequencyGainQ
High shelf10,000 Hz-6.0 dB0.70
Peak23 Hz-1.8 dB3.12
Peak75 Hz+0.8 dB0.65
Peak370 Hz+0.7 dB1.95
Peak1,007 Hz-0.9 dB2.32
Peak2,132 Hz+1.6 dB3.86
Peak3,654 Hz+3.5 dB1.47
Peak6,259 Hz-1.6 dB3.62
Peak7,529 Hz-4.8 dB6.00

Bass target

Set a preamp of -5.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 94 out of 100, up from 72.

FilterFrequencyGainQ
Low shelf105 Hz+3.4 dB0.70
High shelf10,000 Hz-5.2 dB0.70
Peak23 Hz-1.5 dB2.92
Peak73 Hz+1.2 dB1.12
Peak954 Hz-1.3 dB2.09
Peak2,103 Hz+1.7 dB4.55
Peak3,654 Hz+5.2 dB1.24
Peak7,626 Hz-2.7 dB4.50

Bright target

Set a preamp of -6.1 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 94 out of 100, up from 32.

FilterFrequencyGainQ
Low shelf105 Hz-8.9 dB0.70
High shelf10,000 Hz-1.3 dB0.70
Peak23 Hz-2.2 dB2.29
Peak974 Hz-1.5 dB1.90
Peak2,379 Hz+1.4 dB2.60
Peak4,419 Hz+6.0 dB0.85
Peak7,145 Hz-1.6 dB3.60

V-shaped target

Set a preamp of -6.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 94 out of 100, up from 72.

FilterFrequencyGainQ
Low shelf105 Hz+4.1 dB0.70
High shelf10,000 Hz+0.4 dB0.70
Peak23 Hz-1.6 dB2.78
Peak155 Hz+1.7 dB0.48
Peak739 Hz-1.0 dB3.47
Peak1,015 Hz-2.2 dB2.49
Peak2,167 Hz+1.2 dB4.42
Peak3,807 Hz+6.0 dB0.82
Peak5,345 Hz+1.7 dB5.09

Frequency Response

How the Unique Melody Maslow measures across the audible range, against the Harman in-ear target that most listeners prefer in blind tests. Where the line sits above the target that range sounds louder (more bass, brighter treble), below it quieter. The curve is a single measurement, and both lines are shifted so their 500 Hz to 2 kHz average sits at 0 dB.

Unique Melody MaslowHarman target
Measured frequency response of the Unique Melody Maslow-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: a single measurement from the squig.link database of fahryst. Thanks to them for publishing their work.

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