On-demand Webinar: MEMS Microphones as Context Awareness and Predictive Maintenance Sensors

Learn how ST's portfolio of MEMS microphones enable dramatic advancements in any application requiring outstanding audio performance, small footprint, and low cost


Watch a 1-hour on-demand webinar where we introduce ST's portfolio of analog and digital MEMS microphones, and discuss how our best-in-class acoustic overload point (AOP) and signal-to-noise ratio (SNR) make our MEMS microphones suitable for applications that require a very high dynamic range—improving the audio experience in any environment.

Very tight sensitivity-matching allows the optimization of algorithms for multi-microphone arrays available from ST and our partners, while low power consumption enables extended battery life.

Applications span from traditional laptop computers, speech recognition, gaming and virtual reality input devices to sensors for condition monitoring and predictive maintenance in industrial environments.

You will learn:

  • What a MEMS microphone is, and how its unique characteristics enable a broad range of industrial and consumer applications
  • About our wide variety of development resources and tools, including microphone coupon boards and integrated development kits
  • Where to find available example code to simplify development and reduce design time

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Kirby Atwater is a Product Marketing Staff Engineer with STMicroelectronics, supporting ST's MEMS sensors portfolio and low-power RF products in North America. Currently located in the Schaumburg, IL office, he joined ST in 2005 and has supported a wide variety of products to ST customers in the USA and Canada. Prior to joining ST, he was a Field Applications Engineer with ST’s distribution partners, and a project design engineer. Kirby graduated from Purdue University with a BSEE.    
Royce Higashi is an Applications Engineer for the STMicroelectronics' MEMS Sensors support team. He has been with ST since 2013, supporting MEMS microphones, motion sensors, and environmental sensors. Royce holds a BSEE from the University of California, Davis.