amazon
82Score and link only; this publisher does not allow quotes.
Read the full review
Image © AmazonPriced about right
A hybrid wired IEM combining a beryllium-plated dynamic driver, three balanced armatures, and Kiwi Ears' KVT vibration transducer. It is designed for immersive hi-fi listening with tactile low-mid energy and detailed mids and treble.
The Kiwi Ears Étude is an entry-level hybrid IEM that blends a dynamic driver with three balanced armatures to deliver a lively, bass-forward sound with smooth highs and clear vocals. Its distinctive low-end character gives it a fun, energetic presentation, though this unique tuning may not suit purists. While technically capable and spacious-sounding, it demands a decent source and shows some resonance quirks, making it more of an enjoyable experiment than a strictly neutral monitor.
Paraphrased from published reviews & specs - not an original hands-on test. Our AI disclosure.
| Driver | 1DD + 3BA hybrid |
|---|---|
| Driver type | hybrid |
| Driver configuration | 1DD + 3BA |
| Drivers per side | 4 |
| Impedance | 5 Ω |
| Sensitivity | 104 dB/mW |
| Driver | 1DD + 3BA hybrid |
|---|---|
| Driver type | hybrid |
| Driver configuration | 1DD + 3BA |
| Drivers per side | 4 |
| Impedance | 5 Ω |
| Sensitivity | 104 dB/mW |
| Connector | 2-pin 0.78 mm |
|---|
5 source(s) feeding this product's score.
Video reviews we found, each condensed to its verdict. They do feed the HearWiki score, at a measured weight below what a published written review carries.
Reviewers agree the Kiwi Ears Étude delivers a fun, bass-forward sound with a unique bone-conduction driver that adds tactile vibration and a spacious quality, though its effect is polarizing.
Summaries are AI condensations of each video's own conclusion, not transcripts. Titles, thumbnails and view counts belong to their channels.
A minute of your experience with the Kiwi Ears Étude helps the next person shopping for them.
Other wired iems models at a comparable price, ordered by HearWiki score.
Other Kiwi Ears models in the database, same category first.
The data-driven guides this model qualifies for.