Arduino Nicla Voice Development Board - ABX00061

Arduino Nicla Voice

The Arduino Nicla Voice is a compact, ultra-low-power voice recognition and audio AI development board built for edge computing applications. It is designed to run TinyML voice models locally, making it ideal for smart assistants, voice-triggered devices, and industrial audio monitoring.

INFOGRAPHIC OVERVIEW

Main MCU: Nordic nRF52832 (ARM Cortex-M4F) Clock Speed: 64 MHz Audio Processor: Syntiant NDP120 Neural Processor Microphones: Dual MEMS Digital Microphones Connectivity: Bluetooth Low Energy (BLE) Flash Memory: 512 KB SRAM: 64 KB Operating Voltage: 3.3V Form Factor: Ultra-Compact (22.86 x 22.86 mm)

KEY FEATURES (Point-by-Point)

p>Always-on keyword spotting

Runs neural networks locally

No cloud required

Perfect for offline voice recognition.

2 Dual Digital MEMS Microphones

• High-quality audio capture

• Noise reduction capability

• Supports sound classification & keyword detection

3 ARM Cortex-M4F Microcontroller

• Nordic nRF52832

• 64 MHz processing speed

• Integrated Bluetooth LE

4 Bluetooth Low Energy

• Wireless data transfer

• Connect to smartphones or IoT gateways

• Low power consumption

5 Ultra-Low Power Design

• Optimized for battery-powered devices

• Suitable for always-listening applications

• Edge AIy> Feature Details GPIO Multiple programmable pins I2C Yes SPI Yes UART Yes USB Supported Audio Input Dual MEMS microphones

   

  IDEAL APPLICATIONS

  Voice-Controlled Devices Smart Assistants Industrial Audio Monitoring Sound Event Detection Smart Home Automation Wearable AI Devices Edge AI Research Projects

  Nicla Voice vs Traditional Arduino Boards

  Built specifically for voice AI at the edge.

   

  Why Choose Arduino Nicla Voice?

  On-device AI voice processing Ultra-low power consumption Compact industrial design BLE connectivity Ideal for smart & wearable devices Professional-grade audio AI development

   

  Since you work with robotics, AI kits, and educational hardware, Nicla Voice is perfect for offering voice AI learning modules