Nicla Voice
Implement always-on speech recognition on the edge, with sensors that hear what you say and a neural processor to understand what you need.
Overview
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.
Key benefits include:
- 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
Just say the word
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.
Tiny but mighty
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 is particularly suitable for wearable products such as helmets and smart bands – also thanks to its long, battery-powered autonomy.
More than words
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.
Peace and quiet
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.
Need Help?
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Warranty
You can find your board warranty information here.
Tech specs
| Microprocessor | Syntiant® NDP120 Neural Decision Processor™ (NDP):
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| Microcontroller | Nordic Semiconductor nRF52832:
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| Sensors |
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| I/O | Castellated pins with the following features:
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| Interface |
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| Memory |
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| Dimensions and weight |
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| Operating temperature | 0° C to +85° C (32° F to 185°F) |
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Resources for Safety and Products
Manufacturer Information
The production information includes the address and related details of the product manufacturer.
Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
https://www.arduino.cc/
Responsible Person in the EU
An EU-based economic operator who ensures the product's compliance with the required regulations.
Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
Phone: +39 0113157477
Email: support@arduino.cc
Documentation
Learn more
Get Inspired
Use an Arduino Nicla Sense ME to see if you need to freshen up after a workout
Having constant, reliable access to a working HVAC system is vital for our way of living, as they provide a steady supply of fresh, conditioned air. In an effort to decrease downtime and maintenance costs from failures, Yunior González and Danelis Guillan have developed a prototype device that aims to leverage edge machine learning to predict issues before they occur. The duo went with a Nicla Sense ME due to its onboard accelerometer, and after collecting many readings from each of the three axes at a 10Hz sampling rate, they imported the data into Edge Impulse to create the model. This time, rather than using a classifier, they utilized a K-means clustering algorithm — which is great at detecting anomalous readings, such as a motor spinning erratically, compared to a steady baseline. Once the Nicla Sense ME had detected an anomaly, it needed a way to send this data somewhere else and generate an alert. González and Guillan's setup accomplishes the goal by connecting a Microchip AVR-IoT Cellular Mini board to the Sense ME along with a screen, and upon receiving a digital signal from the Sense ME, the AVR-IoT Cellular Mini logs a failure in an Azure Cosmos DB instance where it can be viewed later on a web app. To read more about this preventative maintenance project, you can read the pair’s write-up here on Hackster.io.
