Enroll Now to Review the Arduino Nicla Voice

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The Arduino® Nicla Voice packs speech and motion recognition capabilities on the edge into a tiny form factor.

Please also attend our Webinar and take our Quiz.


The 22.86 x 22.86 mm Nicla Voice allows for easy implementation of always-on speech recognition on the edge, because it integrates Syntiant’s powerful NDP120 Neural Decision processor to run multiple AI algorithms, leveraging bio-inspired, advanced machine learning to automate complex tasks. Nicla Voice comes with a comprehensive package of sensors: in addition to its microphone, it features a smart 6-axis motion sensor and a magnetometer, making it the ideal solution for predictive maintenance, gesture/voice recognition and contactless applications. Nicla Voice offers onboard Bluetooth® Low Energy connectivity to easily interact with existing devices, and is compatible with Nicla, Portenta and MKR products. Finally, its ultra-low power consumption makes 24/7 always-on sensor data processing possible, with the option of battery-powered standalone operation. Small enough to fit into wearables or retrofit existing machinery, enabling AI yet requiring minimal energy: Nicla Voice is the “impossible” combination that makes voice recognition on the edge possible – and easier than ever.

Please also attend our Webinar and take our Quiz.

Key benefits

  • Powerful processor with integrated Deep Neural Networks in a tiny form factor (22.86 x 22.86 mm)
  • Integrated microphone, magnetometer and smart 6-axis IMU
  • Onboard Bluetooth® Low Energy connectivity
  • Add speech recognition capabilities to your projects
  • Ultra-low power for 24/7 always-on sensor data processing
  • Standalone when battery powered
  • Compatible with Portenta and MKR products

Voice detection and voice recognition can change the way you interact with machines, systems and devices. With always-on sensors – courtesy of low power consumption – all you need is a wake word or trigger sound: no buttons to search for while you are driving, no interfaces to clutter your designs. And Nicla Voice not only hears everything, but understands what sounds mean: thanks to advanced neural processing, it can learn to interpret audio inputs such as passwords and commands.

The Nicla family features Arduino Pro’s smallest form factor to date. This means Nicla Voice can easily be used to upgrade or retrofit existing machines and systems, and it is particularly suitable for wearable products such as helmets and smart bands – also thanks to its long, battery-powered autonomy.

Nicla Vision can handle multiple applications simultaneously to recognize different speakers, pick up on multiple wake-up words and run keyword spotting at the same time. But there’s more than voice commands out there, of course. Nicla Voice can be trained to identify noisy bearings that require maintenance, glass shattering or intruders trying to enter, and more.

Nicla Voice lets you tune out in complete safety: integrated into smart headphones, it offers enhanced audio quality with echo-cancellation and noise-suppression features that allow users to focus on their job, spare their ears from loud industrial environments, yet still be warned immediately if an alarm sound is detected.

RoadTest Poll



  • Nicla Voice board

Roadtester Instructions

  • Working with the documentation, open the box and test the out of the box experience of the eval kit.
  • Show the reader of this review what you discovered about the eval kit through text, images, videos, and/or any other media, so the reader understands what is involved in using the product.

Important Dates

Begin Enrollment Feb 29, 2024
End Enrollment Mar 29 2024
Select Roadtesters Apr 2 2024
Ship kits Apr 3 2024
Begin testing Apr 9 2024
element14 Follow up - progress report May 9 2024
Publish review by Jun 9 2024

About Arduino

Arduino designs, manufactures, and supports electronic devices and software, allowing people around the world to easily access advanced technologies that interact with the physical world. Our products are straightforward, simple, and powerful, ready to satisfy users’ needs from students to makers and all the way to professional developers.

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