MATRIX Voice to Create IoT Voice Apps, Available from Premier Farnell


The MATRIX Voice development board allows developers, makers and users to create IoT applications based on sound-driven behaviours, efficiently and quickly

Premier Farnell, a leading distributor of products for electronic system design, maintenance and repair, announced that it is now shipping the MATRIX Voice – a development board for developing sound driven behaviours and interfaces, from MATRIX Labs.

The MATRIX Voice is available from element14 in Asia Pacific, Farnell element14 in Europe and Newark element14 in North America.

The MATRIX Voice allows developers, makers and users to create Internet of Things (IoT) applications based on sound-driven behaviours, efficiently and quickly. The board aims to reduce the barriers to entry for deployment and creation of IoT voice applications.

Commenting on the development, Hari Kalyanaraman, Global Head of Emerging Businesses for Premier Farnell and element14, said, “As the Development Distributor, we strive to provide our customers with the very latest technology to help them as they bring their products to market. Platforms such as the MATRIX Voice give makers and entrepreneurs a real head start, enabling them to shrink their product development cycle and accelerate time to market.”

Rodolfo Saccoman, CEO and Co-Founder of MATRIX Labs, said, “At MATRIX Labs, we aim to democratise the intersection between hardware, artificial intelligence (AI) and software. We have created hardware and accompanying operating systems to enable solutions, creations, and new companies to succeed. Instead of a company trying to build their own board, they can package our MATRIX Voice, manufacture any kind of casing and then take their product to market – fast.”

Key features

The MATRIX Voice board is 3.14 inches in diameter and features 64 Mbit SDRAM, a Xilinx Spartan-6 FPGA, 8 MEMS microphone array and 18 LEDs. It also has an optional Wi-Fi attachment, among other features. The board has 64 GPIO expansion pins that allow for additional customisation. Out of 64 pins, 40 are used to connect to a Raspberry Pi.

The development board is powered by a Raspberry Pi computer or can be used as a standalone device with ESP32. The product specifically targets the development of voice recognition and detection projects, enabling the users to use existing platforms like Google Assistant, Amazon Alexa or any other voice recognition application programming interface (API).

The platform provides users the capability to incorporate custom voice and hardware-accelerated machine learning (ML) into their applications easily. Beamforming, far-field speech recognition, noise cancellation and de-reverberation capabilities ensure quality performance for all voice applications.


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