Industry’s Most Sensitive MEMS Mic

PORTLAND, Ore. — In its rush to get to market “while the iron is hot,” Vesper Technologies Inc. (Boston) has announced what it still claims is the industry’s highest signal-to-ratio (SNR) for a high-definition (HD) microelectromechanical system (MEMS) microphone, even though it is scaled back to 68dB rather than the astounding 70dB SNR MEMS mic they previously promised.

“Our roadmap now calls for the 70dB version in 2016, followed by an ultra-miniature, low-power 72dB model in 2017 and a 75dB signal-to-noise ratio model by 2018,” Vesper Chief Executive Officer Matt Crowley told EE Times. “Even at 68dB, our current model VM101 almost doubles the performance compared to current high-end 65 dB SNR capacitive MEMS microphones.”

The key to Vesper’s high SNR is its use of the piezoelectric aluminum-nitride wurtzite crystals in its unique four-triangle diaphragm forming a square (see photo) with the sound squeezing through the gaps between the triangles, causing them to vibrate thus creating a piezoelectric current. According to Vesper, the sensitivity of its piezoelectric material doubles the distance that sounds can be heard, does dramatic noise cancellation that improves the clarity of phone conversations and minimizes the errors made during voice-commands. And when used in multi-mic set-ups, its high-SNR mics can more easily form beams directly to the person speaking — what retailers call “audio zoom” — to further increase the accuracy of voice-enabled applications, according to Vesper.

Crowley reiterated that Vesper was sticking to its business plan of supplying MEMS wafers full of tiny 0.5-by-0.5-by-0.25 microphones to top tier original equipment manufacturers (OEMs) to which they add a single-ended analog application specific integrated circuit (ASIC) and can package in a standard 3.35-by-2.5-by-1 millimeter package (making them a drop-in replacement for capacitive MEMS microphones).

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About The Author

Ibrar Ayyub

I am an experienced technical writer with a Master's degree in computer science from BZU Multan University. I have written for various industries, mainly home automation and engineering. My writing style is clear and simple, and I am skilled in using infographics and diagrams. I am a great researcher and am able to present information in a well-organized and logical manner.

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