Features
Pre-soldered ESP32 controller: A powerful XiaoMi ESP32S3 is pre-soldered over the I2S pins, providing a solder-free experience for further development and integration.
Dual microphone array for far-field speech capture: The two high-performance digital microphones capture and extract far-field speech and voice (up to 3 meters) even in noisy environments, as they suppress point noise with two microphone inputs.
Onboard AI NLU algorithms: Powered by the XMOS XU-316 AI sound and audio chip, the kit includes natural language understanding algorithms for interference cancellation (IC), acoustic echo cancellation, noise suppression, and automatic gain control (AGC), enabling high-quality speech capture.
Embracing Open Source: It is compatible with Arduino, Platformio, Micropython, and Circuit Python for further development.
Compatible with Popular Voice Assistants: This kit allows you to create your own natural language processor and communicate with Esphome, Amazon Alexa Voice Service, Google Assistant, or cloud speech-to-text services, allowing you to ask questions and issue voice commands to your programs.
Onboard RGB LED: The kit features a programmable WS2812 RGB LED that supports custom effects and provides a visual interface for your applications.
Application:
Smart Speakers and Virtual Assistants: Work with Amazon Alexa and Google Assistant to improve voice command recognition.
Audio Processing Development: Suitable for projects involving audio signal processing and analysis.
Conference Systems: Ensures clear communication during video and audio conferences.
Voice-controlled remote-controlled cars
Keywords: Spotting and waking up
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