Nicla Voice

The Arduino® Nicla Voice packs speech and motion recognition capabilities on the edge into a tiny form factor. The board integrates a dedicated Neural Decision Processor NDP120 empowering multiple AI algorithms simultaneously. Leverage the built-in microphone, nRF52832 microcontroller, Bluetooth® Low Energy module, 6-axis IMU, and 3-axis magnetometer to create your wireless sensor network for machine learning applications with ultra low-power consumption capabilities.

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DATASHEET

Main Features

The Arduino® Nicla Voice implements always-on speech and motion recognition on the edge. The board integrates a Neural Decision Processor from Syntiant (NDP120), enabling it to run multiple AI algorithms. It also features a smart 6-axis motion sensor and a magnetometer, making it the ideal solution for ultra-low power predictive maintenance, gesture/voice recognition, and contactless applications. Following the Nicla family, it offers on-board Bluetooth® Low Energy connectivity and is compatible with Nicla, Portenta, and MKR products.

The Nicla Voice can also be battery-powered with long-lasting autonomy being perfect for autonomous power standalone applications.

Nicla Form Factor

The Arduino Nicla Voice is our smallest form factor yet.

Ultra-low power board

The Arduino Nicla Voice has been designed as an ultra-low power board, being the perfect solution for industrial and IoT battery-powered applications.

System-on-Chip

The Nicla Voice features an nRF52832, a general-purpose multiprotocol System-on-Chip (SoC) from Nordic® Semiconductor.

Datasheet

Neural Decision Processor

The Nicla Voice features an NDP120™, an ultra-low powered and special-purpose deep-learning processor suitable for battery-powered applications and devices created by Syntiant®.

Datasheet

Microphone

The Nicla Voice features an IM69D130, a high-performance digital MEMS microphone from Infineon®.

Datasheet

Inertial Measurement Unit

The Nicla Voice features a BMI270, a 6-axis ultra-low power Inertial Measurement Unit (IMU) optimized for wearables from Bosch®.

Datasheet

Magnetometer

The Nicla Voice features a BMM150, a low-power 3-axis digital geomagnetic sensor from Bosch®.

Datasheet

Bluetooth® Low Energy

The Nicla Voice features the ANNA-B112 Bluetooth® module. A Bluetooth® 5.0 Low Energy system-in-package (SIP) with the powerful nRF52832 SoC integrated.

Datasheet

Tech Specs

Here you will find the technical specifications for the Arduino® Nicla Voice.

Board	Name	Arduino® Nicla Voice
Board	SKU	ABX00061
Neural Decision Processor	Syntiant NDP120	Core	Syntiant Core 2™ ultra-low power deep neural network inference engine
		Audio	HiFi 3 Audio DSP
		MCU	Arm® Cortex® M0 core up to 48 MHz
Microcontroller	nRF52832 Arm® Cortex® M4 at 64MHz
USB connector	Micro USB (USB-B)
Pins	LED built-in	1 RGB LED (I2C)
	Digital I/O Pins	10 (of which 2 are shared with I2C and 4 are shared with SPI)
	Analog input pins	2 (both shared with PWM)
	PWM pins	12 (of which 2 are shared with analog, 2 are shared with I2C and 4 are shared with SPI)
	External interrupts	12
Connectivity	Bluetooth®	ANNA-B112 Bluetooth® module
Sensors	IMU	BMI270 (6-axis)
	Magnetometer	BMM150 (3-axis)
	Microphone	IM69D130
Communication	UART	Yes
	I2C	1
	SPI	1
Power	Microcontroller operating voltage	1.8V translated to 3.3V on external pins
	Board Power Supply (USB/VIN)	5V
	Supported battery	Li-ion/Li-Po Single Cell, 3.7V
	Battery connector	JST 3-pin 1.2 mm pitch
	DC Current per I/O pin	4.7 mA
Clock speed	Processor	64 MHz
Clock speed	RTC	On-board the ANNA-B112
Memory	nRF52832 System-on-chip	64kB SRAM, 512kB Flash
Memory	x1 AT25QL128A-UUE-T	16MB SPI Flash
Dimensions	Weight	2 g
	Width	22.86 mm (900mils)
	Length	22.86 mm (900mils)

Compatibility

Essentials

Guides

User Manual

A full guide to the basics of the Nicla Voice.

Suggested Libraries

ArduinoBLE

The ArduinoBLE library is designed for Arduino boards that have hardware enabled for BLE and Bluetooth 4.0 and above.

PDM

The PDM library allows you to use PDM (Pulse-density modulation) microphones, like the IM69D130.

Arduino Basics

Built-in Examples

Built-in Examples are sketches included in the Arduino IDE and demonstrate all basic Arduino commands.

Learn

Discover interesting articles, principles and techniques related to the Arduino ecosystem.

Language References

Arduino programming language can be divided in three main parts: functions, values (variables and constants), and structure.

Tutorials

Door Intruder Detector Using ML with the Nicla Voice

This application note describes how to identify when intruders are trying to force an entrance door by analyzing surroundings sounds using a Nicla Voice, Machine Learning Tools, and the Arduino IoT Cloud.

Intruder detector

Nicla

Portenta

BLE

Machine Learning Tools

Sound recognition

Arduino IoT Cloud

Application Note

Audio Analysis with Machine Learning and the Nicla Voice

Learn to use the Nicla Voice to create your own Machine Learning audio models with this getting started tutorial.

Getting started

Machine Learning tools

Motion Detection with Nicla Voice and Machine Learning Tools

Learn how to create a simple motion detection application with the Arduino® Nicla Voice and the Arduino Cloud Machine Learning Tools powered by Edge Impulse®.

Nicla

Machine Learning

IMU

Machine Learning Tools

Edge Impulse

Nicla Voice User Manual

Learn about the hardware and software features of the Arduino® Nicla Voice.

IMU

Cheat sheet

RGB

Communication

Resources

Pinout Diagram

A diagram showing the functions and the arrangement of the pins on your product.

Open Diagram

Downloads

Nicla Voice

Software & Cloud

Hardware

boards

Essentials

Guides

Suggested Libraries

Arduino Basics

Tutorials

Resources

Pinout Diagram