Seeed Studio ReSpeaker Lite Voice Assistant Kit ESPHome Assistant 2 Mic Array with XIAO ESP32S3 Pre-Soldered

Pre-Soldered ESP32 Controller: A powerful XIAO ESP32S3 is pre-soldered via the I2S pins, offering a solderless experience for further development and integration. Dual Microphone Array for Far-Field Voice Capture: The 2 high performance digital microphones capture and extract far-field speech and voice (up to 3 meters) even in noisy environments as it cancells point noise using two microphone input. Onboard AI NLU Algorithms: Powered by 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 voice capture. Embracing Open Source: It's compatible with for Arduino, for PlatformIO, for MicroPython, for CircuitPython for furthur developement. Compatible with Popular Voice Assistants: This kit allows you to build your own natural language processor and connect it to Home Assitant via ESPHome, Amazon Alexa Voice Service, Google Assistant, or Cloud Speech-to-Text service, enabling you to ask questions and issue voice commands to your programs. Onboard RGB LED: The kit features a programmable WS2812 RGB LED, supporting custom effects and offering 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-Bsed Remote Control Cars Keywords Spotting and Wake up Colour:Black Material:PCB Package Contents: 1 * ReSpeaker Lite 1 * Antenna Only the above package content, other products are not included. Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.