MEMS microphones target all audio applications where small size, high sound quality, reliability and affordability are key requirements.
ST's MEMS microphones are designed, developed and manufactured inside ST, creating an industry-unique vertical integrated supply chain. Both analog- and digital-input as well as top and bottom port solutions are available.
Our best-in-class acoustic overload point (AOP) and signal-to-noise ratio (SNR) makes ST’s MEMS microphones suitable for applications that require a very high dynamic range, improving audio experience in every environment. Very tight sensitivity matching allows to optimize beamforming and noise cancelling algorithms for multi-microphone arrays. Low power consumption products allow for an extended battery life.
The field of applications where ST MEMS microphones can be applied is as wide as your imagination: mobile terminals, laptop and notebook computers, portable media players, VoIP, speech recognition, A/V eLearning devices, gaming and virtual reality input devices.
ST's MEMS microphones are available in packages that include both metal and plastic solutions with dimensions so small they can be used in any possible environment.
A wide variety of development tools including microphone coupon boards and example code is available to help developers reduce design time.
Software and acoustic gasket simulation support is offered by ST to ensure rapid development of the best solution for your audio application needs.
This video on the SensorTile.box Pro Mode shows you how to use this IoT and wearable sensor development kit to create customized wireless applications using an STM32Cube function pack. Use-case on a Human Activity Recognition algorithm included.
Watch this short tutorial on the Expert mode of the SensorTile.box to learn how to use a graphical wizard to build programs without having to write any code.
The first video in the SensorTile.box series of short tutorials will guide you through the pre-recorded examples in the device firmware to help you use IoT and wearable sensor applications.