Gravity Offline Language Voice Recognition Sensor For Arduino ESP32 Microbit

Gravity Offline Language Voice Recognition Sensor For Arduino ESP32 Microbit EMERALD STORE USAVerified Authenticity • Fast Delivery • Exceptional Support⚡Fast & Free Shipping🛡️30-Day Guarantee💯100% Satisfaction🔒Secure CheckoutGravity Offline Language Voice Recognition Sensor For Arduino ESP32 Microbit📋 Product Overview

Introduction
The Gravity: Offline Voice Recognition Sensor is an offline voice recognition module that utilizes a new offline voice recognition chip. It comes with 121 built-in commands and supports 17 custom commands, functioning even without an internet connection. It adopts a dual-microphone design for superior noise resistance, and is equipped with built-in and external speaker interfaces for real-time response. Compatible with various 3.3V or 5V controllers, it\'s an ideal choice for applications requiring voice control or interaction, like smart homes, toys, lamps, and robot projects. Self-Learning Function
This voice recognition module is equipped with a self-learning feature, supporting the addition of 17 custom command words. It offers the flexibility to train any sound as a command, such as a whistle, a snap, or even a cat\'s meow, greatly enhancing the versatility of interactive audio projects. User-Friendly
The offline speech recognition sensor boasts a user-friendly design. It comes with 121 built-in fixed command words, eliminating the need for users to record their own voices. Real-Time Voice response The module is equipped with an integrated speaker and an interface for an external speaker, enabling it to deliver real-time vocal response on recognition outcomes.The module is equipped with an integrated speaker and an interface for an external speaker, enabling it to deliver real-time vocal response on recognition outcomes. High Compatibility Support I2C and UART, with a Gravity interface Compatible with 3.3V/5V Specification
Operating Voltage: 3.3 - 5V
Maximum Operating Current:≤370 mA (5V)
Communication: I2C/UART
I2C Address: 0x64
Fixed Command: 121
Fixed Wake-up Command: 1
Custom Command: 17 Learning Activation Command: 1
Onboard Microphone Sensitivity: -28db
Module Size: 49×32 mm/1.93×1.26”

💡 Key Highlights

• 【Easy to Use】: This voice recognition sensor is compatible with micro:bit, Arduino Uno and ESP32, with detailed online Arduino IDE tutorials and Makecode tutorials. It supports plug-and-play through I2C and UART communication methods, allowing easy integration into projects.
• 【121 built-in fixed command words】: The offline voice recognition sensor comes with 121 built-in fixed command words, allowing for immediate use without any configuration, such as \"Play music,\" \"Open the door,\" \"Turn on the light,\" and \"Close the window\". For instance, in an intelligent window system, when it starts to rain or thunder, there\'s no need for manual window operation. The offline voice recognition module can recognize the pre-set command word \"close the window,\" triggering the automatic closing of the window to cope with sudden weather changes.
• 【Self-Learning Function+Adding 17 Custom Command Words】: This Offline Speech Recognition Module is equipped with a self-learning function and supports the addition of 17 custom command words. Any sound could be trained as a command, such as whistling, snapping, or even cat meows, which brings great flexibility to interactive audio projects. For instance automatic pet feeder. When a cat emits a meow, the offline voice recognition module can recognize the meow and trigger the feeder to automatically provide food for the cat.
• 【No network required】: This voice recognition sensor can be used without the need for a network connection, making it suitable for various settings. It provides fast response to specific command words and instructions. Moreover, the onboard MCU is equipped with voice recognition algorithms, ensuring that conversations are not recorded or uploaded to the cloud, thus ensuring greater privacy and security.
• 【Integrated Microphone and Speaker with Compact Size】: The offline voice module features an onboard speaker and microphone, providing a high level of integration that saves space and eliminates the need for complex wiring. With its compact size of only 49×32 mm, it is convenient for seamless integration into various applications.

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