The Arisyn Huo Shu ranks #560 out of 1084 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Prices on this page were last checked October 15, 2026 at 5:41 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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#560 Arisyn Huo Shu: $49.99 Amazon $49.99 eBay
Pros: A budget single dynamic IEM with a 10mm LCP driver and a wood faceplate. It measures reasonably close to the Harman target (score 70 across eight measurements).
Cons: Treble sits about 2.8 dB below target, a dark, relaxed balance. Bass sits about 2.2 dB below target, so it sounds lean. Sub-bass falls about 4.4 dB short at 30 Hz. A 2.54 dB spread from the target shows peaks and dips that better tuned sets avoid.
Is the Arisyn Huo Shu right for you?
Buy it if
- you are sensitive to bright or sharp treble (treble sits 2.8 dB below target).
- you are happy to use EQ: our preset lifts its Harman match by about 16 points.
Skip it if
- you want the best value: the higher-rated EPZ G10 costs about $26 less.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 2.54 dB standard deviation |
| Driver Type | Dynamic |
| Drivers | 1 x 10mm dynamic (LCP) |
| Form Factor | In-ear |
| Harman Preference Score | 70 (median of 8 squig.link measurements, calibrated to AutoEQ) |
| Impedance | 32 ohms |
| Sensitivity | 103 dB @ 1 kHz |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (-4.4 dB at 30 Hz) |
| Tonal Tilt | +0.15 (negative is warmer, positive brighter) |
EQ Presets
Harman target
Set a preamp of -6.0 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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 86 out of 100, up from 70.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +3.5 dB | 0.70 |
| High shelf | 10,000 Hz | -0.5 dB | 0.70 |
| Peak | 186 Hz | -2.9 dB | 0.76 |
| Peak | 5,525 Hz | +6.0 dB | 2.79 |
Neutral target
Set a preamp of -6.0 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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 87 out of 100, up from 53.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -5.0 dB | 0.70 |
| High shelf | 10,000 Hz | -0.5 dB | 0.70 |
| Peak | 186 Hz | -2.9 dB | 0.67 |
| Peak | 5,525 Hz | +6.0 dB | 2.79 |
Studio flat 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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 90 out of 100, up from 36.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -7.6 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 177 Hz | -4.8 dB | 0.73 |
| Peak | 751 Hz | +1.2 dB | 2.92 |
| Peak | 2,960 Hz | +2.5 dB | 5.80 |
| Peak | 4,227 Hz | -2.5 dB | 6.00 |
| Peak | 5,361 Hz | +3.4 dB | 0.90 |
Warm target
Set a preamp of -5.3 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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 88 out of 100, up from 69.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +3.7 dB | 0.70 |
| High shelf | 10,000 Hz | -3.5 dB | 0.70 |
| Peak | 186 Hz | -2.6 dB | 0.80 |
| Peak | 2,070 Hz | -2.3 dB | 2.50 |
| Peak | 5,790 Hz | +6.0 dB | 4.85 |
Bass target
Set a preamp of -6.0 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 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 84 out of 100, up from 56.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.8 dB | 0.70 |
| High shelf | 10,000 Hz | -0.5 dB | 0.70 |
| Peak | 206 Hz | -2.8 dB | 1.06 |
| Peak | 5,525 Hz | +6.0 dB | 2.79 |
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 the median of 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 80 out of 100, up from 41.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -5.1 dB | 0.70 |
| High shelf | 10,000 Hz | +1.8 dB | 0.70 |
| Peak | 186 Hz | -2.9 dB | 0.67 |
| Peak | 5,113 Hz | +6.0 dB | 1.81 |
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 the median of 8 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 76 out of 100, up from 54.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.9 dB | 0.70 |
| High shelf | 10,000 Hz | +2.0 dB | 0.70 |
| Peak | 4,953 Hz | +6.0 dB | 1.56 |
- Reviews, Comparisons and Sound Samples
Frequency Response
How the Arisyn Huo Shu 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 8 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 8 measurements from the squig.link databases of aftersound, bassaudio, digaoreviews, fernandagunsan, jaytiss, pw, soundcheck39 and soundignity. Thanks to each of them for publishing their work.
