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?
Check the Arduino Forum for questions about the Arduino Language, or how to make your own Projects with Arduino. If you need any help with your product, please get in touch with the official Arduino User Support as explained in our Contact Us page.
Warranty
You can find your board warranty information here.
Tech specs
| Microprocessor | Syntiant® NDP120 Neural Decision Processor™ (NDP):
|
| Microcontroller | Nordic Semiconductor nRF52832:
|
| Sensors |
|
| I/O | Castellated pins with the following features:
|
| Interface |
|
| Memory |
|
| Dimensions and weight |
|
| Operating temperature | 0° C to +85° C (32° F to 185°F) |
| Power |
|
| Connectivity |
|
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
In a world where energy bills are climbing and the environment is on our minds, keeping tabs on how we use energy at home has become a smart move. Every gadget we plug in impacts our wallets and the planet. That's where home energy monitoring comes in – giving us real-time info on how we're using energy, so we can save money and do our bit for the Earth. This post delves into home energy monitoring, spotlighting how to track your energy consumption using the Arduino Cloud and a Tuya-compatible energy meter with Node-RED acting as a middleware. What's the deal with home energy monitoring? Home energy monitoring is all about watching how much energy we're using at home. It's not just about paying the bills; it's about knowing what's eating up energy, so we can be smarter about it. Why does it matter? Well, first off, it helps us be more aware. When we can see which devices are energy hogs (looking at you, always-on TV), we can take action. And with energy costs going up, finding ways to save money is a no-brainer. Plus, with everyone talking about being green these days, knowing where your energy goes is like a badge of honor for doing your part. The ingredients The key component in this setup is an energy meter designed to monitor both real-time and cumulative power consumption, along with metrics such as voltage and current. This meter is installed within your home's electrical distribution board. Tuya-compatible devices have gained widespread popularity due to their affordability, user-friendliness, and seamless management through the SmartLife application. Moreover, these devices can also be seamlessly integrated into alternative platforms through the utilization of the Tuya API. The Arduino Cloud stands out as a versatile and user-friendly IoT platform, supporting a wide range of hardware. It's not only customizable and adaptable to suit different purposes and use cases, but it also streamlines the incorporation of multiple devices,
