Programmable Metamaterial Sound Barrier Deep Dive: Selectively Filtering Noise While Preserving Speech
ETH Zurich develops programmable metamaterial sound barrier SoundBarrier, using tunable acoustic metamaterial resonance to selectively filter traffic noise while remaining transparent to human voice frequencies.
On January 17, 2030, ETH Zurich's acoustics laboratory released the programmable metamaterial sound barrier SoundBarrier. Unlike traditional sound insulation materials that simply block all sound, SoundBarrier uses tunable acoustic metamaterial resonance to selectively filter specific noise frequencies.
SoundBarrier comprises thousands of micro-acoustic resonators, each tunable via electrical signals. The built-in AI algorithm analyzes environmental noise spectral characteristics in real-time, tuning resonators to absorb noise frequencies while remaining transparent to human voice frequencies (300Hz to 3400Hz).
In field tests along a busy Zurich road, SoundBarrier reduced traffic noise by 28 decibels with minimal impact on roadside conversations. Commercial products are expected in 2031.
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