The KBEAR Aurora ranks #617 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: KBEAR
Prices on this page were last checked October 16, 2026 at 5:46 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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#617 KBEAR Aurora: $139 Discontinued eBay
Pros: A broadly balanced tuning with a preference score of 71 against the Harman target.
Cons: An uneven response, 2.1 dB standard deviation from target. Discontinued.
Is the KBEAR Aurora 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 19 points.
Skip it if
- you want to buy it new: it is discontinued.
| Back | Closed |
|---|---|
| Connection | Wired (3.5mm) |
| Deviation From Target | 2.14 dB standard deviation |
| Driver Type | Dynamic |
| Drivers | 1 Dynamic (10mm titanium-coated) |
| Form Factor | In-ear |
| Harman Preference Score | 71 (median of 6 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (-1.5 dB at 30 Hz) |
| Tonal Tilt | -0.40 (negative is warmer, positive brighter) |
EQ Presets
Harman target
Set a preamp of -2.6 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 90 out of 100, up from 71.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| High shelf | 10,000 Hz | +1.1 dB | 0.70 |
| Peak | 23 Hz | +2.4 dB | 1.61 |
| Peak | 166 Hz | -4.4 dB | 0.77 |
| Peak | 788 Hz | +1.4 dB | 2.21 |
| Peak | 1,871 Hz | -1.6 dB | 3.14 |
| Peak | 3,266 Hz | +1.9 dB | 5.77 |
| Peak | 5,714 Hz | +2.4 dB | 1.30 |
Neutral target
Set a preamp of -2.6 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 92 out of 100, up from 40.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -8.2 dB | 0.70 |
| High shelf | 10,000 Hz | +1.1 dB | 0.70 |
| Peak | 23 Hz | +1.8 dB | 2.21 |
| Peak | 150 Hz | -4.5 dB | 0.65 |
| Peak | 778 Hz | +1.5 dB | 2.16 |
| Peak | 1,939 Hz | -1.6 dB | 3.23 |
| Peak | 3,265 Hz | +1.9 dB | 5.75 |
| Peak | 5,709 Hz | +2.4 dB | 1.29 |
Studio flat target
Set a preamp of -4.3 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 92 out of 100, up from 20.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.8 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 166 Hz | -6.3 dB | 0.71 |
| Peak | 798 Hz | +1.4 dB | 2.64 |
| Peak | 1,662 Hz | -1.2 dB | 3.47 |
| Peak | 3,048 Hz | +4.3 dB | 2.45 |
| Peak | 4,877 Hz | -1.5 dB | 6.00 |
| Peak | 6,160 Hz | +2.6 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 85 out of 100, up from 78.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +0.5 dB | 0.70 |
| High shelf | 10,000 Hz | -2.3 dB | 0.70 |
| Peak | 158 Hz | -4.2 dB | 0.75 |
| Peak | 6,115 Hz | +1.9 dB | 6.00 |
Bass 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 the median of 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 92 out of 100, up from 69.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +4.0 dB | 0.70 |
| High shelf | 10,000 Hz | +1.1 dB | 0.70 |
| Peak | 23 Hz | +2.2 dB | 1.53 |
| Peak | 166 Hz | -4.4 dB | 0.77 |
| Peak | 788 Hz | +1.4 dB | 2.21 |
| Peak | 1,870 Hz | -1.6 dB | 3.14 |
| Peak | 3,267 Hz | +1.9 dB | 5.75 |
| Peak | 5,719 Hz | +2.4 dB | 1.31 |
Bright target
Set a preamp of -4.8 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 85 out of 100, up from 28.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -8.3 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 153 Hz | -4.5 dB | 0.65 |
| Peak | 5,016 Hz | +4.6 dB | 1.24 |
V-shaped 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 the median of 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 83 out of 100, up from 65.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +4.6 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 153 Hz | -3.1 dB | 0.79 |
| Peak | 5,016 Hz | +5.0 dB | 1.14 |
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Frequency Response
How the KBEAR Aurora 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 6 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 6 measurements from the squig.link databases of bryaudioreviews, dchpgall, ianfann, melatonin, mmagtech and pw. Thanks to each of them for publishing their work.