ReSpeaker Lite Voice Assistant Kit ESPHome Home Assistant 2 Mic Array with XIAO ESP32S3 pre-soldered, Mono Enclosed Speaker

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ReSpeaker Lite Voice Assistant Kit ESPHome Home Assistant 2 Mic Array with XIAO ESP32S3 pre-soldered, Mono Enclosed Speaker

ReSpeaker Lite Voice Assistant Kit ESPHome Home Assistant 2 Mic Array with XIAO ESP32S3 pre-soldered, Mono Enclosed Speaker

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SPECIFICATIONS

Accessory Type: Extension Board

Acoustic Overload Point: 120 dBL

Audio Output: Speaker Connector / 3.5mm Headphone Jack

Battery Included: No

Brand Name: seeed studio

Compatible With: XIAO ESP32S3

Core Chip: XMOS XU316

Digital Microphones: High-Performance Digital Microphones * 2

Dimensions: 35*86 mm

High-concerned chemical: None

Maximum Sampling Rate: 16Khz

Origin: Mainland China

Power Supply: USB 5V, External 5V

SNR: 64 dBA

Sensitivity: -26 dBFS

Speaker: Supports 5W Amplifier Speakers.

Typical Application Fields: Smart Speakers and Voice Interaction Device


Powered by XMOS XU316 AI Sound and Audio chipset, it is a high-performance open source voice assistant development kit. The kit integrates the reSpeaker Lite dual-microphone array and a powerful XIAO ESP32S3 processor, offering exceptional voice recognition, noise reduction, and voice processing capabilities thanks to its onboard AI NLU algorithms. This kit provides firmware integration with Home Assistant via ESPHome, making it ideal for smart voice assistants and home automation applications.


Features

🌱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 high quality voice capture.

🌱Embracing Open Source: It's compatible with Arduino, PlatformIO, MicroPython, 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.

Hardware overview

Hardware Flowchart

Hardware Diagrams

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



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