Gravity: Offline Language Learning Voice Recognition Sensor

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€16,90
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€16,90
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€16,90
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The Gravity Offline Speech Recognition Module is an efficient, plug-and-play voice interaction solution designed for human-computer interaction, voice assistants, smart home automation, and educational projects. It operates entirely offline—no internet connection required—ensuring data privacy and security. Fully compatible with popular development platforms like Arduino UNO , micro:bit , and ESP32 , it also comes with detailed tutorials to help you get started quickly.


Key Features

  • Plug and Play Compatibility: Works with Arduino UNO, micro:bit, and ESP32. Easy integration with I2C/UART communication.

  • 121 Built-in Voice Commands: Pre-programmed for immediate use without any configuration. Ideal for smart home and educational use cases.

  • 17 Custom Commands via Self-Learning: Teach the module new commands using your voice. Supports any language or sound.

  • Offline Operation: No network required, ensuring better privacy and functionality in low-connectivity environments.

  • Compact and Integrated Design: Built-in microphone and speaker reduce wiring complexity and save space.

  • Real-Time Voice Feedback: Instantly hear feedback after recognition to improve interaction and usability.

Applications

  • Voice-controlled smart home devices

  • Educational and STEM projects

  • Human-machine interaction

  • Prototyping and hardware competitions

  • Pet care automation and environmental triggers


Technical Specifications

  • Operating Voltage: 3.3V - 5V

  • Maximum Operating Current: < 370 mA (5V)

  • Communication Interface: I2C / UART

  • I2C Address: 0x64

  • Fixed Commands: 121

  • Fixed Wake Word: 1

  • Custom Commands: 17

  • Learning Activation Command: 1

  • Microphone Sensitivity: -28dB

  • Module Dimensions: 49 × 32 mm / 1.93" × 1.26"

  • Operating Temperature: 0°C to 70°C

Self-Learning Function

This module features a user-friendly self-learning mode. Teach it any word or sound by activating learning mode, speaking the new command three times, and it will automatically recognize and store it. Supports multilingual or even sound-based custom commands. Example use cases include:

  • “Meow” – triggers pet feeder

  • “Limpia” – controls a cleaning robot (Spanish for “clean”)

  • “Snap” – activates a camera

Secure Offline Usage

No data is sent to the cloud. Unlike online voice assistants, this module ensures full user privacy and reliability in offline or restricted environments such as schools or outdoor installations.

Real-Time Feedback

Users receive instant audio or visual confirmation after issuing commands, providing better interaction and debugging experience during development or real-world deployment.

Package Includes

  • 1× Gravity Offline Voice Recognition Module

  • 1× Jumper wire set

  • Access to online tutorials and documentation

Real-World Applications & Tutorials

Project: Create a Voice-Controlled SOS Alert System
Learn how to build a voice-activated SOS system using the Gravity Voice Recognition Module alongside M5StickC. Ideal for smart home safety, especially for seniors, this project shows how voice commands can trigger instant Telegram alerts during emergencies.

Review: Exploring the Gravity Voice Recognition Module
Discover why this offline voice module is praised for its reliability and performance in automation projects. It enables seamless voice control without relying on any internet connection.

Project: Mastering Voice Commands with Arduino
Follow a comprehensive tutorial on integrating the voice recognition module with Arduino. Learn how to set up custom commands and build interactive, voice-controlled projects—entirely offline.

Project: Raspberry Pi Pico Voice Control Guide
Unlock the potential of Raspberry Pi Pico by combining it with the Gravity Voice Recognition Sensor. This step-by-step guide covers everything from hardware setup to creating and executing custom voice commands for smart control applications.

Reference

Product wiki

Command Words List

Interface Diagram

Arduino Tutorial

MakeCode Tutorial

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