The Gravity Offline Speech Recognition Module is a highly efficient, plug-and-play offline voice recognition solution designed for advanced human-computer interaction, voice assistants, smart home automation, and educational AI projects. As an offline speech recognition module, it operates entirely without an internet connection, ensuring maximum data privacy and security for all your voice control applications. Fully compatible with popular development platforms like Arduino UNO, micro:bit, and ESP32, this AI voice module includes detailed tutorials to help you implement offline voice control quickly. Key Features of the Offline Voice Recognition Module Plug and Play Compatibility: This offline speech recognition module works seamlessly with Arduino UNO, micro:bit, and ESP32 via I2C/UART communication. 121 Built-in Voice Commands: Pre-programmed for immediate offline voice interaction without any complex configuration. 17 Custom Commands via Self-Learning: Teach your offline voice recognition module new commands using your own voice. Supports any language or sound trigger. Offline Operation: No network required, ensuring superior privacy and AI speech recognition functionality in low-connectivity environments. Compact and Integrated Design: Features a built-in microphone and speaker to simplify wiring for Arduino voice projects. Real-Time Voice Feedback: Provides instant audible feedback to improve the human-machine interaction experience. Applications Voice-controlled smart home devices and automated lighting Educational STEM and AI speech recognition projects Advanced human-machine interaction for robotics Prototyping for hardware competitions using Arduino or ESP32 Pet care automation and environmental voice triggers Technical Specifications Operating Voltage: 3.3V - 5V (Perfect for Arduino and micro:bit) Maximum Operating Current: < 370 mA (5V) Communication Interface: I2C / UART I2C Address: 0x64 Fixed Commands: 121 Pre-set speech recognition words Fixed Wake Word: 1 Custom Commands: 17 Self-learned commands Microphone Sensitivity: -28dB Module Dimensions: 49 × 32 mm / 1.93" × 1.26" Operating Temperature: 0°C to 70°C Self-Learning AI Function This offline voice recognition module features a user-friendly self-learning mode. Teach the AI speech module any word or sound by speaking the command three times; it will automatically store the acoustic model for future recognition. This allows for multilingual voice control or unique sound triggers: “Meow” – triggers a smart pet feeder “Limpia” – controls a cleaning robot (Spanish for “clean”) “Snap” – activates a voice-triggered camera Secure Offline Usage and Privacy Unlike cloud-based assistants, this offline speech recognition solution ensures no data is sent to the internet. This makes it the ideal voice recognition module for privacy-sensitive environments like schools, labs, or secure home automation systems. Real-Time Feedback and Interaction The integrated AI voice module provides instant audio confirmation, which is essential for debugging Arduino voice control code and ensuring a smooth user experience in real-world deployments. Package Includes 1× Gravity Offline Voice Recognition Module 1× Jumper wire set (Gravity compatible) Access to online Arduino and ESP32 tutorials Real-World Applications & Tutorials Project: Create a Voice-Controlled SOS Alert SystemLearn how to build an offline voice-activated SOS system using this module with M5StickC. Perfect for smart home safety, showing how voice recognition can trigger emergency alerts. Review: Exploring the Gravity Voice Recognition ModuleDiscover why this offline voice module is praised for its reliability in automation. It enables seamless voice control for Arduino without any internet dependency. Project: Mastering Voice Commands with ArduinoA comprehensive guide on integrating offline speech recognition with Arduino UNO. Learn how to set up custom AI voice commands for interactive projects. Project: Raspberry Pi Pico Voice Control GuideUnlock the potential of Raspberry Pi Pico with offline voice recognition. This guide covers hardware setup and executing speech recognition triggers for smart control. Reference & Resources Product Wiki | Command Words List | Interface Diagram | Arduino Tutorial | MakeCode Tutorial
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