MATRIX Voice brings fast and affordable development of voice-controlled IoT apps on Raspberry Pi
Miami, Fla.-based, venture-backed, machine intelligence creation company MATRIX Labs is launching the next open-sourced tool for Internet of Things (IoT) developers. The new hardware, MATRIX Voice, brings development of voice-control apps to the Raspberry Pi, or the standalone platform.
The 64-bit architecture of the Voice has voice recognition integration with (32-bit) Amazon Alexa and Google Voice. The tool will allow makers and hardware developers to quickly create low cost voice-control apps.
The Voice board has a radial array of seven MEMS microphones, which are connected to a Xilinx Spartan6 FPGA + 64 Mbit SDRAM. The microphone array on the Voice lets you take advantage of voice recognition in your app creations.
It uses services such as Microsoft Cognitive Service, Amazon Alexa Voice Service, Google Speech API, Wit.ai, and Houndify. Events can be triggered based on sound detections and applied to pre-configured actions.
The hardware includes 64 GPIO pins (40 pins for Raspberry Pi, 16 GPIOs, 2 i2c, and power pins) for device-to-device connection. It also includes far-field voice capture, beam-forming, acoustic source localization, noise suppression, de-reverberation, and acoustic echo cancellation.
The company will also offer a stand-alone 2.4 GHz Wi-Fi and Bluetooth-enabled 32-bit microcontroller version for commercial voice solutions for IoT.
To simplify hardware application development, the MATRIX Voice includes MATRIX OS, which allows developers to build hardware applications in a few lines of JavaScript code.
It measures, appropriately enough 3.14-inch (the value of Pi) in diameter and is priced at $45. It launched its Indiegogo campaign, asking for $5000 "flexible goal" investment earlier today.
MATRIX Labs Co-founder and CEO Rodolfo Saccoman said: "MATRIX Voice is our latest addition to the MATRIX Labs toolbox and, like our MATRIX Creator dev board, MATRIX OS, App Store, it is poised to accelerate the creation of next-generation voice-control apps faster and more cost-effectively than ever before."
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