Yamaha HP-1 Review: Ranked #124 of 479

Last updated: October 16, 2026

The Yamaha HP-1 ranks #124 out of 479 total Over-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: Yamaha

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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Yamaha HP-1 - ranked #124 of 479 Over-Ear Headphones · Editor's rating 4/5

#124 Yamaha HP-1: $200 Discontinued eBay

Pros: Tuned close to the Harman target that most listeners prefer in blind tests (preference score 81).

Cons: About 8 dB less bass than the Harman target below 150 Hz, which can sound thin on pop, hip hop and electronic music. Treble about 2 dB below target from 3 to 10 kHz, which can sound dull or veiled next to brighter headphones. Discontinued.

Is the Yamaha HP-1 right for you?

Buy it if

  • you want the tuning most listeners prefer in blind tests out of the box (Harman score 81).
  • you are sensitive to bright or sharp treble (treble sits 2.2 dB below target).

Skip it if

  • you want more bass (about 8 dB below target).
  • you need isolation or will use it in public: open-back headphones leak sound both ways.
  • you want to buy it new: it is discontinued.
BackOpen
ConnectionWired
Deviation From Target2.38 dB standard deviation
Driver TypePlanar Magnetic
Drivers2 x 55mm orthodynamic
Form FactorOver-ear
Harman Preference Score81 (median of 3 squig.link measurements, calibrated to AutoEQ)
Sub-bass ExtensionFalls 6 dB below target at 56 Hz (-15.8 dB at 30 Hz)
Tonal Tilt-0.15 (negative is warmer, positive brighter)

EQ Presets

Harman target

Set a preamp of -6.3 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 92 out of 100, up from 81.

FilterFrequencyGainQ
Low shelf105 Hz+5.5 dB0.70
High shelf10,000 Hz-4.7 dB0.70
Peak49 Hz+1.6 dB1.90
Peak132 Hz-3.5 dB0.92
Peak2,337 Hz-3.5 dB3.70
Peak4,290 Hz+1.6 dB6.00
Peak5,844 Hz+3.8 dB1.86

Neutral target

Set a preamp of -6.6 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 93 out of 100, up from 72.

FilterFrequencyGainQ
Low shelf105 Hz+3.5 dB0.70
High shelf10,000 Hz-4.7 dB0.70
Peak32 Hz+3.7 dB1.75
Peak66 Hz-2.1 dB2.87
Peak109 Hz-5.6 dB0.94
Peak2,338 Hz-3.5 dB3.80
Peak4,291 Hz+1.5 dB6.00
Peak5,844 Hz+3.8 dB1.84

Studio flat target

Set a preamp of -6.8 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 92 out of 100, up from 43.

FilterFrequencyGainQ
Low shelf105 Hz+2.5 dB0.70
High shelf10,000 Hz+0.9 dB0.70
Peak28 Hz+5.0 dB1.74
Peak68 Hz-2.0 dB2.44
Peak124 Hz-7.0 dB0.72
Peak361 Hz-1.7 dB1.93
Peak1,746 Hz+1.3 dB6.00
Peak4,885 Hz+3.1 dB0.83

Warm target

Set a preamp of -6.3 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 99 out of 100, up from 80.

FilterFrequencyGainQ
Low shelf105 Hz+5.6 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak49 Hz+1.4 dB1.96
Peak132 Hz-3.3 dB0.97
Peak2,385 Hz-4.2 dB2.94
Peak5,829 Hz+1.7 dB2.33

Bass target

Set a preamp of -6.3 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 94 out of 100, up from 70.

FilterFrequencyGainQ
Low shelf105 Hz+6.0 dB0.70
High shelf10,000 Hz-4.7 dB0.70
Peak68 Hz+1.5 dB3.36
Peak193 Hz-2.8 dB1.10
Peak2,337 Hz-3.5 dB3.70
Peak4,290 Hz+1.6 dB6.00
Peak5,845 Hz+3.8 dB1.86

Bright target

Set a preamp of -6.6 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 83 out of 100, up from 49.

FilterFrequencyGainQ
Low shelf105 Hz+3.4 dB0.70
High shelf10,000 Hz-1.8 dB0.70
Peak32 Hz+3.8 dB1.73
Peak66 Hz-2.0 dB2.85
Peak109 Hz-5.6 dB0.94
Peak250 Hz-1.1 dB2.09
Peak2,300 Hz-3.5 dB4.52
Peak4,213 Hz+2.1 dB5.90
Peak5,345 Hz+6.0 dB1.92

V-shaped target

Set a preamp of -6.3 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 3 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 80 out of 100, up from 65.

FilterFrequencyGainQ
Low shelf105 Hz+6.0 dB0.70
High shelf10,000 Hz-0.9 dB0.70
Peak74 Hz+1.5 dB4.44
Peak184 Hz-1.4 dB1.42
Peak2,281 Hz-3.1 dB5.27
Peak4,210 Hz+2.2 dB5.21
Peak5,345 Hz+6.0 dB1.71

Frequency Response

How the Yamaha HP-1 measures across the audible range, against the Harman over-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 3 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.

Yamaha HP-1Harman target
Measured frequency response of the Yamaha HP-1-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: median of 3 measurements from the squig.link databases of aden, elrics and sai. Thanks to each of them for publishing their work.

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