Powered by a Raspberry Pi computer or used as a standalone device with the ESP32, the board specifically targets the development of voice recognition and detection projects, allowing users to utilise existing platforms such as Google Assistant or Amazon Alexa, or any other voice recognition API. The platform gives users the ability to integrate custom voice and hardware-accelerated machine learning easily into their applications. Beamforming, noise cancellation, far-field speech recognition, and de-reverberation capabilities ensure high quality performance for all voice applications. 3.14 inches in diameter, the board features a Xilinx Spartan-6 FPGA, 64 Mbit SDRAM, a 8 MEMS microphone array, and 18 LEDs among other features including an optional Wi-Fi attachment. 64 GPIO expansion pins, 40 of which are used to connect to a Raspberry Pi, allow for additional customization.
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