The Kiwi Ears Melody ranks #912 out of 1369 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: Kiwi Ears
Prices on this page were last checked October 17, 2026 at 6:04 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.
As an eBay Partner, we may be compensated if you make a purchase.
#912 Kiwi Ears Melody: 9.00 Amazon eBay
Pros: A broadly balanced tuning with a preference score of 66 against the Harman target.
Cons: An uneven response, 2.4 dB standard deviation from target.
Is the Kiwi Ears Melody right for you?
Buy it if
- you want sub-bass rumble that reaches down to 20 Hz.
- you are happy to use EQ: our preset lifts its Harman match by about 26 points.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 2.39 dB standard deviation |
| Driver Type | Planar |
| Drivers | 1 x 12mm planar magnetic driver |
| Form Factor | In-ear |
| Frequency Response | 5Hz - 40kHz |
| Harman Preference Score | 66 (median of 17 squig.link measurements, calibrated to AutoEQ) |
| Impedance | 18 ohms |
| Sensitivity | 102 dB |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (+0.3 dB at 30 Hz) |
| Tonal Tilt | -0.81 (negative is warmer, positive brighter) |
EQ Presets
Harman 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 the median of 17 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 92 out of 100, up from 66.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -1.8 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 23 Hz | +1.5 dB | 1.24 |
| Peak | 171 Hz | -5.6 dB | 0.76 |
| Peak | 697 Hz | +1.7 dB | 3.59 |
| Peak | 4,083 Hz | +3.5 dB | 1.70 |
Neutral 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 the median of 17 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 93 out of 100, up from 29.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.3 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 164 Hz | -5.5 dB | 0.68 |
| Peak | 693 Hz | +1.8 dB | 3.36 |
| Peak | 4,081 Hz | +3.5 dB | 1.68 |
Studio flat target
Set a preamp of -4.1 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 17 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 89 out of 100, up from 9.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -12.0 dB | 0.70 |
| High shelf | 10,000 Hz | -3.9 dB | 0.70 |
| Peak | 169 Hz | -7.5 dB | 0.74 |
| Peak | 696 Hz | +1.7 dB | 4.11 |
| Peak | 3,112 Hz | +4.1 dB | 1.40 |
| Peak | 5,389 Hz | -1.6 dB | 6.00 |
Warm target
Set a preamp of -1.7 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 17 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 94 out of 100, up from 74.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -1.5 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 23 Hz | +1.4 dB | 1.29 |
| Peak | 168 Hz | -5.3 dB | 0.77 |
| Peak | 699 Hz | +2.0 dB | 3.22 |
| Peak | 3,998 Hz | +2.2 dB | 5.43 |
| Peak | 8,000 Hz | -1.6 dB | 1.34 |
Bass target
Set a preamp of -3.6 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 17 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 93 out of 100, up from 72.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.0 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 23 Hz | +1.7 dB | 1.17 |
| Peak | 174 Hz | -5.6 dB | 0.79 |
| Peak | 698 Hz | +1.7 dB | 3.64 |
| Peak | 4,083 Hz | +3.5 dB | 1.71 |
Bright target
Set a preamp of -5.6 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 17 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 86 out of 100, up from 18.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.4 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 164 Hz | -5.5 dB | 0.66 |
| Peak | 4,626 Hz | +5.7 dB | 1.22 |
V-shaped target
Set a preamp of -5.9 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 17 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 83 out of 100, up from 64.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.7 dB | 0.70 |
| High shelf | 10,000 Hz | -5.1 dB | 0.70 |
| Peak | 166 Hz | -4.2 dB | 0.76 |
| Peak | 4,570 Hz | +6.0 dB | 1.13 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the Kiwi Ears Melody 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 the median of 17 independent measurements, so one odd sample or rig cannot skew it, and both lines are shifted so their 500 Hz to 2 kHz average sits at 0 dB.
Measurement data: median of 17 measurements from the squig.link databases of audioamigo, bassyalexander, boizoff, cqtek, hbb, ianfann, jaytiss, kazi, kuping-sensi, mmagtech, musicafe, practiphile, pw, soundcheck39, tonedeafmonk, vortexreviews and vsg. Thanks to each of them for publishing their work.