TRUE TRUE WIRELESS NOTHING EAR (1) test test: not surprisingly, but not without interest

12/09/2022 By gifsauce 362 Views

The presence sensors deactivating the active noise reduction and the "transparency" mode on our Rick model, we are unfortunately unable to offer you our usual insulation measurement.This does not prevent us from sharing our analysis on the performance of EAR (1) which, without revolutionizing the small world of True Wireless headphones, do not have to be ashamed in front of certain direct competitors.

In its most effective mode, the active noise reduction of EAR (1) does a nice work to erase the most serious surrounding noises, offering an attenuation of around 20 dB of the bass to the bas-mediums.The roar of the engines, the ventilation noises, and a good part of the rolling noises are thus strongly erased.The action of active noise reduction nevertheless begins to find its limits on the border between low medium and mediums, and this is particularly well felt on the voices: these seem more distant and more "fluettes"-which isExplained by the attenuation of bas-mediums by the RBA, those which constitute the fundamental frequencies of the voice-, but we still distinguish nearby discussions, vocal announcements in public places, and we can even recognize theirstamp.

These are properly masked by any musical content, but it is clear that these headphones are not able to place us in a real sound bubble, as the best models can offer.The lack of insulation in the mediums is also felt on certain "metallic" sounds or on the clicking of the keyboards nearby, the result being once again blatant when the headphones disseminate any sound content.

Test Écouteurs true wireless Nothing Ear (1) : sans surprise, mais pas sans intérêt

The "transparent" mode is rather relevant to hold a conversation or to be perfectly sure to hear a vocal alert, since it offers a very focused rendering on mediums/high-mediums.On the other hand, given its lack of naturalness, it is better to remove the headphones to perceive and instinctively locate the different sources of noise in urban environment (nearby vehicles, for example, and the potential dangers that can come from the rear in particular).

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