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Arduino Nicla Voice
The Arduino Nicla Voice is a development board with a high-performance microphone and IMU, a Cortex-M4 Nordic nRF52832 MCU and the Syntiant NDP120 Neural Decision Processor™. The NDP120 supports multiple Neural Network architectures and is ideal for always-on low-power speech recognition applications. You'll be able to sample raw data, build models, and deploy trained embedded machine learning models directly from the Edge Impulse studio to create the next generation of low-power, high-performance audio interfaces.
Arduino Nicla Voice
To set this device up in Edge Impulse, you will need to install the following software:
Download the Nicla Voice firmware for audio or IMU below and connect the USB cable to your computer:
The archive contains different scripts to flash the firmware on your OS, ie for macOS:
- install_lib_mac.command: script will install the Arduino Core for the Nicla board and the pyserial package required to update the NDP120 chip. You only need to run this script once.
- flash_mac.command: to flash both the MCU and NDP120 chip. You should use this script on a brand new board
The additional scripts below can be used for specific actions:
- flash_mac_mcu.command: to flash only the Nordic MCU, ie if you recompiled the firmware and doesn't need to update the NDP120 model.
- flash_mac_model.command: to flash only the NDP120 model.
- format_mac_ext_flash.command: to format the external flash that contains the NDP120 model
After flashing the MCU and NDP chips, connect the Nicla Voice directly to your computer's USB port. Linux, Mac OS, and Windows platforms are supported. From a command prompt or terminal, run:
This will start a wizard which will ask you to log in and choose an Edge Impulse project. If you want to switch projects run the command with
Alternatively, recent versions of Google Chrome and Microsoft Edge can collect data directly from your development board, without the need for the Edge Impulse CLI. See this blog post for more information.
Device connected to Edge Impulse
Use syntiant compatible pre-processing blocks
The Arduino Nicla Voice is based on the Syntiant NDP120 Neural Decision Processor™ and needs to use dedicated Syntiant DSP blocks.
With everything set up you can now build your first machine learning model and evaluate it using the Arduino Nicla Voice Board with this tutorial:
- How to label my classes? The NDP chip expects one and only negative class and it should be the last in the list. For instance, if your original dataset looks like:
yes, no, unknown, noiseand you only want to detect the keyword 'yes' and 'no', merge the 'unknown' and 'noise' labels in a single class such as
z_openset(we prefix it with 'z' in order to get this class last in the list).