The BEEP Audio Azure ranks #343 out of 1118 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
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#343 BEEP Audio Azure: $105 eBay
Pros: A broadly balanced tuning with a preference score of 75 against the Harman target.
Cons: An uneven response, 1.9 dB standard deviation from target.
Is the BEEP Audio Azure right for you?
Buy it if
- you want the tuning most listeners prefer in blind tests out of the box (Harman score 75).
Skip it if
- you want the best value: the higher-rated EPZ G10 costs about $81 less.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 1.92 dB standard deviation |
| Driver Type | Hybrid |
| Drivers | 2 x dynamic + 1 x balanced armature |
| Form Factor | In-ear |
| Harman Preference Score | 75 (median of 6 squig.link measurements, calibrated to AutoEQ) |
| Impedance | 14 ohms |
| Sensitivity | 105 dB/mW |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (-3.1 dB at 30 Hz) |
| Tonal Tilt | +0.27 (negative is warmer, positive brighter) |
EQ Presets
Harman target
Set a preamp of -4.0 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: 84 out of 100, up from 75.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +2.8 dB | 0.70 |
| High shelf | 10,000 Hz | +0.5 dB | 0.70 |
| Peak | 132 Hz | -2.5 dB | 0.86 |
| Peak | 3,239 Hz | +2.2 dB | 4.53 |
| Peak | 5,886 Hz | +4.1 dB | 6.00 |
Neutral target
Set a preamp of -3.9 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 91 out of 100, up from 56.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -5.7 dB | 0.70 |
| High shelf | 10,000 Hz | +0.5 dB | 0.70 |
| Peak | 122 Hz | -2.7 dB | 0.77 |
| Peak | 690 Hz | +1.6 dB | 1.88 |
| Peak | 1,601 Hz | -2.0 dB | 3.65 |
| Peak | 3,239 Hz | +2.2 dB | 4.51 |
| Peak | 4,629 Hz | -1.6 dB | 6.00 |
| Peak | 5,886 Hz | +4.1 dB | 6.00 |
Studio flat target
Set a preamp of -4.4 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: 90 out of 100, up from 38.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -8.3 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 154 Hz | -4.4 dB | 0.80 |
| Peak | 713 Hz | +1.5 dB | 2.23 |
| Peak | 1,544 Hz | -1.8 dB | 4.77 |
| Peak | 2,943 Hz | +4.4 dB | 3.04 |
| Peak | 4,597 Hz | -2.5 dB | 6.00 |
| Peak | 6,035 Hz | +2.5 dB | 5.83 |
Warm target
Set a preamp of -4.9 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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 92 out of 100, up from 72.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +3.1 dB | 0.70 |
| High shelf | 10,000 Hz | -3.1 dB | 0.70 |
| Peak | 23 Hz | +1.8 dB | 1.80 |
| Peak | 125 Hz | -2.3 dB | 0.92 |
| Peak | 703 Hz | +1.8 dB | 1.81 |
| Peak | 1,690 Hz | -2.5 dB | 2.89 |
| Peak | 4,575 Hz | -3.2 dB | 6.00 |
| Peak | 5,929 Hz | +2.2 dB | 6.00 |
| Peak | 7,690 Hz | -2.5 dB | 6.00 |
Bass target
Set a preamp of -5.7 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 Bass match with this EQ: 87 out of 100, up from 61.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.6 dB | 0.70 |
| High shelf | 10,000 Hz | +0.5 dB | 0.70 |
| Peak | 174 Hz | -2.2 dB | 1.12 |
| Peak | 688 Hz | +1.5 dB | 1.82 |
| Peak | 1,600 Hz | -2.1 dB | 3.62 |
| Peak | 3,239 Hz | +2.2 dB | 4.54 |
| Peak | 4,629 Hz | -1.6 dB | 6.00 |
| Peak | 5,886 Hz | +4.1 dB | 6.00 |
Bright 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 Bright match with this EQ: 87 out of 100, up from 45.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -5.8 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 23 Hz | +1.4 dB | 2.13 |
| Peak | 125 Hz | -2.7 dB | 0.76 |
| Peak | 683 Hz | +1.5 dB | 2.03 |
| Peak | 1,594 Hz | -2.2 dB | 3.63 |
| Peak | 3,164 Hz | +1.9 dB | 4.55 |
| Peak | 5,304 Hz | +4.0 dB | 1.18 |
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 6 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 80 out of 100, up from 61.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.8 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 5,016 Hz | +4.2 dB | 1.02 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the BEEP Audio Azure 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 audioamigo, digaoreviews, eplv, jaytiss, pw and soundcheck39. Thanks to each of them for publishing their work.